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AlexMaclean/sentence-compression | https://huggingface.co/AlexMaclean/sentence-compression | This model is a fine-tuned version of distilbert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : AlexMaclean/sentence-compression
### Model URL : https://huggingface.co/AlexMaclean/sentence-compression
### Model Description : This model is a fine-tuned version of distilbert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: |
AlexN/xls-r-300m-fr-0 | https://huggingface.co/AlexN/xls-r-300m-fr-0 | This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - FR dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : AlexN/xls-r-300m-fr-0
### Model URL : https://huggingface.co/AlexN/xls-r-300m-fr-0
### Model Description : This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - FR dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: |
AlexN/xls-r-300m-fr | https://huggingface.co/AlexN/xls-r-300m-fr | This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - FR dataset. More information needed More information needed More information needed The following hyperparameters were used during training: | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : AlexN/xls-r-300m-fr
### Model URL : https://huggingface.co/AlexN/xls-r-300m-fr
### Model Description : This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - FR dataset. More information needed More information needed More information needed The following hyperparameters were used during training: |
AlexN/xls-r-300m-pt | https://huggingface.co/AlexN/xls-r-300m-pt | This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - PT dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : AlexN/xls-r-300m-pt
### Model URL : https://huggingface.co/AlexN/xls-r-300m-pt
### Model Description : This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - PT dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: |
AlexaMerens/Owl | https://huggingface.co/AlexaMerens/Owl | null | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : AlexaMerens/Owl
### Model URL : https://huggingface.co/AlexaMerens/Owl
### Model Description : |
AlexaRyck/KEITH | https://huggingface.co/AlexaRyck/KEITH | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : AlexaRyck/KEITH
### Model URL : https://huggingface.co/AlexaRyck/KEITH
### Model Description : No model card New: Create and edit this model card directly on the website! |
Alexander-Learn/bert-finetuned-ner-accelerate | https://huggingface.co/Alexander-Learn/bert-finetuned-ner-accelerate | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Alexander-Learn/bert-finetuned-ner-accelerate
### Model URL : https://huggingface.co/Alexander-Learn/bert-finetuned-ner-accelerate
### Model Description : No model card New: Create and edit this model card directly on the website! |
Alexander-Learn/bert-finetuned-ner | https://huggingface.co/Alexander-Learn/bert-finetuned-ner | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Alexander-Learn/bert-finetuned-ner
### Model URL : https://huggingface.co/Alexander-Learn/bert-finetuned-ner
### Model Description : No model card New: Create and edit this model card directly on the website! |
Alexander-Learn/bert-finetuned-squad-accelerate | https://huggingface.co/Alexander-Learn/bert-finetuned-squad-accelerate | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Alexander-Learn/bert-finetuned-squad-accelerate
### Model URL : https://huggingface.co/Alexander-Learn/bert-finetuned-squad-accelerate
### Model Description : No model card New: Create and edit this model card directly on the website! |
Alexander-Learn/bert-finetuned-squad | https://huggingface.co/Alexander-Learn/bert-finetuned-squad | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Alexander-Learn/bert-finetuned-squad
### Model URL : https://huggingface.co/Alexander-Learn/bert-finetuned-squad
### Model Description : No model card New: Create and edit this model card directly on the website! |
Alexandru/creative_copilot | https://huggingface.co/Alexandru/creative_copilot | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Alexandru/creative_copilot
### Model URL : https://huggingface.co/Alexandru/creative_copilot
### Model Description : No model card New: Create and edit this model card directly on the website! |
AlexeyIgnatov/albert-xlarge-v2-squad-v2 | https://huggingface.co/AlexeyIgnatov/albert-xlarge-v2-squad-v2 | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : AlexeyIgnatov/albert-xlarge-v2-squad-v2
### Model URL : https://huggingface.co/AlexeyIgnatov/albert-xlarge-v2-squad-v2
### Model Description : No model card New: Create and edit this model card directly on the website! |
AlexeyYazev/my-awesome-model | https://huggingface.co/AlexeyYazev/my-awesome-model | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : AlexeyYazev/my-awesome-model
### Model URL : https://huggingface.co/AlexeyYazev/my-awesome-model
### Model Description : No model card New: Create and edit this model card directly on the website! |
Alfia/anekdotes | https://huggingface.co/Alfia/anekdotes | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Alfia/anekdotes
### Model URL : https://huggingface.co/Alfia/anekdotes
### Model Description : No model card New: Create and edit this model card directly on the website! |
AliPotter24/a | https://huggingface.co/AliPotter24/a | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : AliPotter24/a
### Model URL : https://huggingface.co/AliPotter24/a
### Model Description : No model card New: Create and edit this model card directly on the website! |
Alicanke/Wyau | https://huggingface.co/Alicanke/Wyau | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Alicanke/Wyau
### Model URL : https://huggingface.co/Alicanke/Wyau
### Model Description : No model card New: Create and edit this model card directly on the website! |
Alifarsi/t5-small-finetuned-xsum | https://huggingface.co/Alifarsi/t5-small-finetuned-xsum | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Alifarsi/t5-small-finetuned-xsum
### Model URL : https://huggingface.co/Alifarsi/t5-small-finetuned-xsum
### Model Description : No model card New: Create and edit this model card directly on the website! |
Aliraza47/BERT | https://huggingface.co/Aliraza47/BERT | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Aliraza47/BERT
### Model URL : https://huggingface.co/Aliraza47/BERT
### Model Description : No model card New: Create and edit this model card directly on the website! |
Alireza-rw/testbot | https://huggingface.co/Alireza-rw/testbot | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Alireza-rw/testbot
### Model URL : https://huggingface.co/Alireza-rw/testbot
### Model Description : No model card New: Create and edit this model card directly on the website! |
Alireza1044/albert-base-v2-cola | https://huggingface.co/Alireza1044/albert-base-v2-cola | This model is a fine-tuned version of albert-base-v2 on the GLUE COLA dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Alireza1044/albert-base-v2-cola
### Model URL : https://huggingface.co/Alireza1044/albert-base-v2-cola
### Model Description : This model is a fine-tuned version of albert-base-v2 on the GLUE COLA dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: |
Alireza1044/albert-base-v2-mnli | https://huggingface.co/Alireza1044/albert-base-v2-mnli | This model is a fine-tuned version of albert-base-v2 on the GLUE MNLI dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Alireza1044/albert-base-v2-mnli
### Model URL : https://huggingface.co/Alireza1044/albert-base-v2-mnli
### Model Description : This model is a fine-tuned version of albert-base-v2 on the GLUE MNLI dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: |
Alireza1044/albert-base-v2-mrpc | https://huggingface.co/Alireza1044/albert-base-v2-mrpc | This model is a fine-tuned version of albert-base-v2 on the GLUE MRPC dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Alireza1044/albert-base-v2-mrpc
### Model URL : https://huggingface.co/Alireza1044/albert-base-v2-mrpc
### Model Description : This model is a fine-tuned version of albert-base-v2 on the GLUE MRPC dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: |
Alireza1044/albert-base-v2-qnli | https://huggingface.co/Alireza1044/albert-base-v2-qnli | This model is a fine-tuned version of albert-base-v2 on the GLUE QNLI dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Alireza1044/albert-base-v2-qnli
### Model URL : https://huggingface.co/Alireza1044/albert-base-v2-qnli
### Model Description : This model is a fine-tuned version of albert-base-v2 on the GLUE QNLI dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: |
Alireza1044/albert-base-v2-qqp | https://huggingface.co/Alireza1044/albert-base-v2-qqp | This model is a fine-tuned version of albert-base-v2 on the GLUE QQP dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Alireza1044/albert-base-v2-qqp
### Model URL : https://huggingface.co/Alireza1044/albert-base-v2-qqp
### Model Description : This model is a fine-tuned version of albert-base-v2 on the GLUE QQP dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: |
Alireza1044/albert-base-v2-rte | https://huggingface.co/Alireza1044/albert-base-v2-rte | This model is a fine-tuned version of albert-base-v2 on the GLUE RTE dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Alireza1044/albert-base-v2-rte
### Model URL : https://huggingface.co/Alireza1044/albert-base-v2-rte
### Model Description : This model is a fine-tuned version of albert-base-v2 on the GLUE RTE dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: |
Alireza1044/albert-base-v2-sst2 | https://huggingface.co/Alireza1044/albert-base-v2-sst2 | This model is a fine-tuned version of albert-base-v2 on the GLUE SST2 dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Alireza1044/albert-base-v2-sst2
### Model URL : https://huggingface.co/Alireza1044/albert-base-v2-sst2
### Model Description : This model is a fine-tuned version of albert-base-v2 on the GLUE SST2 dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: |
Alireza1044/albert-base-v2-stsb | https://huggingface.co/Alireza1044/albert-base-v2-stsb | This model is a fine-tuned version of albert-base-v2 on the GLUE STSB dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Alireza1044/albert-base-v2-stsb
### Model URL : https://huggingface.co/Alireza1044/albert-base-v2-stsb
### Model Description : This model is a fine-tuned version of albert-base-v2 on the GLUE STSB dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: |
Alireza1044/albert-base-v2-wnli | https://huggingface.co/Alireza1044/albert-base-v2-wnli | This model is a fine-tuned version of albert-base-v2 on the GLUE WNLI dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Alireza1044/albert-base-v2-wnli
### Model URL : https://huggingface.co/Alireza1044/albert-base-v2-wnli
### Model Description : This model is a fine-tuned version of albert-base-v2 on the GLUE WNLI dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: |
Alireza1044/bert_classification_lm | https://huggingface.co/Alireza1044/bert_classification_lm | A simple model trained on dialogues of characters in NBC series, The Office. The model can do a binary classification between Michael Scott and Dwight Shrute's dialogues. | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Alireza1044/bert_classification_lm
### Model URL : https://huggingface.co/Alireza1044/bert_classification_lm
### Model Description : A simple model trained on dialogues of characters in NBC series, The Office. The model can do a binary classification between Michael Scott and Dwight Shrute's dialogues. |
Alireza1044/dwight_bert_lm | https://huggingface.co/Alireza1044/dwight_bert_lm | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Alireza1044/dwight_bert_lm
### Model URL : https://huggingface.co/Alireza1044/dwight_bert_lm
### Model Description : No model card New: Create and edit this model card directly on the website! |
Alireza1044/michael_bert_lm | https://huggingface.co/Alireza1044/michael_bert_lm | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Alireza1044/michael_bert_lm
### Model URL : https://huggingface.co/Alireza1044/michael_bert_lm
### Model Description : No model card New: Create and edit this model card directly on the website! |
AlirezaBaneshi/testPersianQA | https://huggingface.co/AlirezaBaneshi/testPersianQA | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : AlirezaBaneshi/testPersianQA
### Model URL : https://huggingface.co/AlirezaBaneshi/testPersianQA
### Model Description : No model card New: Create and edit this model card directly on the website! |
Aliskin/xlm-roberta-base-finetuned-marc | https://huggingface.co/Aliskin/xlm-roberta-base-finetuned-marc | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Aliskin/xlm-roberta-base-finetuned-marc
### Model URL : https://huggingface.co/Aliskin/xlm-roberta-base-finetuned-marc
### Model Description : No model card New: Create and edit this model card directly on the website! |
Aliyyu/Keren | https://huggingface.co/Aliyyu/Keren | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Aliyyu/Keren
### Model URL : https://huggingface.co/Aliyyu/Keren
### Model Description : No model card New: Create and edit this model card directly on the website! |
AllwynJ/HarryBoy | https://huggingface.co/AllwynJ/HarryBoy | #HarryBoy | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : AllwynJ/HarryBoy
### Model URL : https://huggingface.co/AllwynJ/HarryBoy
### Model Description : #HarryBoy |
Allybaby21/Allysai | https://huggingface.co/Allybaby21/Allysai | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Allybaby21/Allysai
### Model URL : https://huggingface.co/Allybaby21/Allysai
### Model Description : No model card New: Create and edit this model card directly on the website! |
Aloka/mbart50-ft-si-en | https://huggingface.co/Aloka/mbart50-ft-si-en | This model was trained from scratch on an unkown dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Aloka/mbart50-ft-si-en
### Model URL : https://huggingface.co/Aloka/mbart50-ft-si-en
### Model Description : This model was trained from scratch on an unkown dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: |
Alstractor/distilbert-base-uncased-finetuned-cola | https://huggingface.co/Alstractor/distilbert-base-uncased-finetuned-cola | This model is a fine-tuned version of distilbert-base-uncased on the glue dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Alstractor/distilbert-base-uncased-finetuned-cola
### Model URL : https://huggingface.co/Alstractor/distilbert-base-uncased-finetuned-cola
### Model Description : This model is a fine-tuned version of distilbert-base-uncased on the glue dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: |
Altidore/DuggFace | https://huggingface.co/Altidore/DuggFace | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Altidore/DuggFace
### Model URL : https://huggingface.co/Altidore/DuggFace
### Model Description : No model card New: Create and edit this model card directly on the website! |
Alvenir/wav2vec2-base-da | https://huggingface.co/Alvenir/wav2vec2-base-da | This wav2vec2-base model has been pretrained on ~1300 hours of danish speech data. The pretraining data consists of podcasts and audiobooks and is unfortunately not public available. However, we were allowed to distribute the pretrained model. This model was pretrained on 16kHz sampled speech audio. When using the model, make sure to use speech audio sampled at 16kHz. The pre-training was done using the fairseq library in January 2021. It needs to be fine-tuned to perform speech recognition. In order to finetune the model to speech recognition, you can draw inspiration from this notebook tutorial or this blog post tutorial. | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Alvenir/wav2vec2-base-da
### Model URL : https://huggingface.co/Alvenir/wav2vec2-base-da
### Model Description : This wav2vec2-base model has been pretrained on ~1300 hours of danish speech data. The pretraining data consists of podcasts and audiobooks and is unfortunately not public available. However, we were allowed to distribute the pretrained model. This model was pretrained on 16kHz sampled speech audio. When using the model, make sure to use speech audio sampled at 16kHz. The pre-training was done using the fairseq library in January 2021. It needs to be fine-tuned to perform speech recognition. In order to finetune the model to speech recognition, you can draw inspiration from this notebook tutorial or this blog post tutorial. |
Amalq/distilroberta-base-finetuned-MentalHealth | https://huggingface.co/Amalq/distilroberta-base-finetuned-MentalHealth | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Amalq/distilroberta-base-finetuned-MentalHealth
### Model URL : https://huggingface.co/Amalq/distilroberta-base-finetuned-MentalHealth
### Model Description : No model card New: Create and edit this model card directly on the website! |
Amalq/distilroberta-base-finetuned-anxiety-depression | https://huggingface.co/Amalq/distilroberta-base-finetuned-anxiety-depression | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Amalq/distilroberta-base-finetuned-anxiety-depression
### Model URL : https://huggingface.co/Amalq/distilroberta-base-finetuned-anxiety-depression
### Model Description : No model card New: Create and edit this model card directly on the website! |
Amalq/roberta-base-finetuned-schizophreniaReddit2 | https://huggingface.co/Amalq/roberta-base-finetuned-schizophreniaReddit2 | This model is a fine-tuned version of roberta-base on the None dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Amalq/roberta-base-finetuned-schizophreniaReddit2
### Model URL : https://huggingface.co/Amalq/roberta-base-finetuned-schizophreniaReddit2
### Model Description : This model is a fine-tuned version of roberta-base on the None dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: |
AmanPriyanshu/DistilBert-Sentiment-Analysis | https://huggingface.co/AmanPriyanshu/DistilBert-Sentiment-Analysis | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : AmanPriyanshu/DistilBert-Sentiment-Analysis
### Model URL : https://huggingface.co/AmanPriyanshu/DistilBert-Sentiment-Analysis
### Model Description : No model card New: Create and edit this model card directly on the website! |
AmazonScience/qanlu | https://huggingface.co/AmazonScience/qanlu | Question Answering NLU (QANLU) is an approach that maps the NLU task into question answering,
leveraging pre-trained question-answering models to perform well on few-shot settings. Instead of
training an intent classifier or a slot tagger, for example, we can ask the model intent- and
slot-related questions in natural language: Note the "Yes. No. " prepended in the context. Those are to allow the model to answer intent-related questions (e.g. "Is the user looking for a restaurant?"). Thus, by asking questions for each intent and slot in natural language, we can effectively construct an NLU hypothesis. For more details, please read the paper: Language model is all you need: Natural language understanding as question answering. Instructions for how to train and evaluate a QANLU model, as well as the necessary code for ATIS are in the Amazon Science repository. This model has been fine-tuned on ATIS (English) and is intended to demonstrate the power of this approach. For other domains or tasks, it should be further fine-tuned
on relevant data. If you use this work, please cite: This library is licensed under the CC BY NC License. | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : AmazonScience/qanlu
### Model URL : https://huggingface.co/AmazonScience/qanlu
### Model Description : Question Answering NLU (QANLU) is an approach that maps the NLU task into question answering,
leveraging pre-trained question-answering models to perform well on few-shot settings. Instead of
training an intent classifier or a slot tagger, for example, we can ask the model intent- and
slot-related questions in natural language: Note the "Yes. No. " prepended in the context. Those are to allow the model to answer intent-related questions (e.g. "Is the user looking for a restaurant?"). Thus, by asking questions for each intent and slot in natural language, we can effectively construct an NLU hypothesis. For more details, please read the paper: Language model is all you need: Natural language understanding as question answering. Instructions for how to train and evaluate a QANLU model, as well as the necessary code for ATIS are in the Amazon Science repository. This model has been fine-tuned on ATIS (English) and is intended to demonstrate the power of this approach. For other domains or tasks, it should be further fine-tuned
on relevant data. If you use this work, please cite: This library is licensed under the CC BY NC License. |
Amba/wav2vec2-large-xls-r-300m-tr-colab | https://huggingface.co/Amba/wav2vec2-large-xls-r-300m-tr-colab | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Amba/wav2vec2-large-xls-r-300m-tr-colab
### Model URL : https://huggingface.co/Amba/wav2vec2-large-xls-r-300m-tr-colab
### Model Description : No model card New: Create and edit this model card directly on the website! |
Amba/wav2vec2-large-xls-r-300m-turkish-colab | https://huggingface.co/Amba/wav2vec2-large-xls-r-300m-turkish-colab | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Amba/wav2vec2-large-xls-r-300m-turkish-colab
### Model URL : https://huggingface.co/Amba/wav2vec2-large-xls-r-300m-turkish-colab
### Model Description : No model card New: Create and edit this model card directly on the website! |
aisoftware/Loquela | https://huggingface.co/aisoftware/Loquela | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : aisoftware/Loquela
### Model URL : https://huggingface.co/aisoftware/Loquela
### Model Description : No model card New: Create and edit this model card directly on the website! |
Amir99/toxic | https://huggingface.co/Amir99/toxic | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Amir99/toxic
### Model URL : https://huggingface.co/Amir99/toxic
### Model Description : No model card New: Create and edit this model card directly on the website! |
AmirBialer/amirbialer-Classifier | https://huggingface.co/AmirBialer/amirbialer-Classifier | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : AmirBialer/amirbialer-Classifier
### Model URL : https://huggingface.co/AmirBialer/amirbialer-Classifier
### Model Description : No model card New: Create and edit this model card directly on the website! |
AmirHussein/test | https://huggingface.co/AmirHussein/test | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : AmirHussein/test
### Model URL : https://huggingface.co/AmirHussein/test
### Model Description : No model card New: Create and edit this model card directly on the website! |
AmirServi/MyModel | https://huggingface.co/AmirServi/MyModel | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : AmirServi/MyModel
### Model URL : https://huggingface.co/AmirServi/MyModel
### Model Description : No model card New: Create and edit this model card directly on the website! |
Amirosein/distilbert_v1 | https://huggingface.co/Amirosein/distilbert_v1 | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Amirosein/distilbert_v1
### Model URL : https://huggingface.co/Amirosein/distilbert_v1
### Model Description : No model card New: Create and edit this model card directly on the website! |
Amirosein/roberta | https://huggingface.co/Amirosein/roberta | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Amirosein/roberta
### Model URL : https://huggingface.co/Amirosein/roberta
### Model Description : No model card New: Create and edit this model card directly on the website! |
Amit29/t5-small-finetuned-xsum | https://huggingface.co/Amit29/t5-small-finetuned-xsum | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Amit29/t5-small-finetuned-xsum
### Model URL : https://huggingface.co/Amit29/t5-small-finetuned-xsum
### Model Description : No model card New: Create and edit this model card directly on the website! |
AmitT/test | https://huggingface.co/AmitT/test | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : AmitT/test
### Model URL : https://huggingface.co/AmitT/test
### Model Description : No model card New: Create and edit this model card directly on the website! |
Amitabh/doc-classification | https://huggingface.co/Amitabh/doc-classification | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Amitabh/doc-classification
### Model URL : https://huggingface.co/Amitabh/doc-classification
### Model Description : No model card New: Create and edit this model card directly on the website! |
Amro-Kamal/gpt | https://huggingface.co/Amro-Kamal/gpt | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Amro-Kamal/gpt
### Model URL : https://huggingface.co/Amro-Kamal/gpt
### Model Description : No model card New: Create and edit this model card directly on the website! |
Amrrs/indian-foods | https://huggingface.co/Amrrs/indian-foods | Autogenerated by HuggingPics🤗🖼️ Create your own image classifier for anything by running the demo on Google Colab. Report any issues with the demo at the github repo. | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Amrrs/indian-foods
### Model URL : https://huggingface.co/Amrrs/indian-foods
### Model Description : Autogenerated by HuggingPics🤗🖼️ Create your own image classifier for anything by running the demo on Google Colab. Report any issues with the demo at the github repo. |
Amrrs/south-indian-foods | https://huggingface.co/Amrrs/south-indian-foods | Autogenerated by HuggingPics🤗🖼️ Create your own image classifier for anything by running the demo on Google Colab. Report any issues with the demo at the github repo. | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Amrrs/south-indian-foods
### Model URL : https://huggingface.co/Amrrs/south-indian-foods
### Model Description : Autogenerated by HuggingPics🤗🖼️ Create your own image classifier for anything by running the demo on Google Colab. Report any issues with the demo at the github repo. |
Amrrs/wav2vec2-large-xlsr-53-tamil | https://huggingface.co/Amrrs/wav2vec2-large-xlsr-53-tamil | Fine-tuned facebook/wav2vec2-large-xlsr-53 in Tamil using the Common Voice
When using this model, make sure that your speech input is sampled at 16kHz. The model can be used directly (without a language model) as follows: The model can be evaluated as follows on the {language} test data of Common Voice. Test Result: 82.94 % The Common Voice train, validation datasets were used for training. The script used for training can be found here | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Amrrs/wav2vec2-large-xlsr-53-tamil
### Model URL : https://huggingface.co/Amrrs/wav2vec2-large-xlsr-53-tamil
### Model Description : Fine-tuned facebook/wav2vec2-large-xlsr-53 in Tamil using the Common Voice
When using this model, make sure that your speech input is sampled at 16kHz. The model can be used directly (without a language model) as follows: The model can be evaluated as follows on the {language} test data of Common Voice. Test Result: 82.94 % The Common Voice train, validation datasets were used for training. The script used for training can be found here |
Ana1315/A | https://huggingface.co/Ana1315/A | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Ana1315/A
### Model URL : https://huggingface.co/Ana1315/A
### Model Description : No model card New: Create and edit this model card directly on the website! |
Ana1315/ana | https://huggingface.co/Ana1315/ana | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Ana1315/ana
### Model URL : https://huggingface.co/Ana1315/ana
### Model Description : No model card New: Create and edit this model card directly on the website! |
AnaRhisT/bert_sequence_cs_validation | https://huggingface.co/AnaRhisT/bert_sequence_cs_validation | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : AnaRhisT/bert_sequence_cs_validation
### Model URL : https://huggingface.co/AnaRhisT/bert_sequence_cs_validation
### Model Description : No model card New: Create and edit this model card directly on the website! |
Analufm/Ana | https://huggingface.co/Analufm/Ana | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Analufm/Ana
### Model URL : https://huggingface.co/Analufm/Ana
### Model Description : No model card New: Create and edit this model card directly on the website! |
Anamika/autonlp-Feedback1-479512837 | https://huggingface.co/Anamika/autonlp-Feedback1-479512837 | You can use cURL to access this model: Or Python API: | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Anamika/autonlp-Feedback1-479512837
### Model URL : https://huggingface.co/Anamika/autonlp-Feedback1-479512837
### Model Description : You can use cURL to access this model: Or Python API: |
Anamika/autonlp-fa-473312409 | https://huggingface.co/Anamika/autonlp-fa-473312409 | You can use cURL to access this model: Or Python API: | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Anamika/autonlp-fa-473312409
### Model URL : https://huggingface.co/Anamika/autonlp-fa-473312409
### Model Description : You can use cURL to access this model: Or Python API: |
Anders/itu-ams-summa | https://huggingface.co/Anders/itu-ams-summa | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Anders/itu-ams-summa
### Model URL : https://huggingface.co/Anders/itu-ams-summa
### Model Description : No model card New: Create and edit this model card directly on the website! |
Andi/bert-tt-ner-1 | https://huggingface.co/Andi/bert-tt-ner-1 | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Andi/bert-tt-ner-1
### Model URL : https://huggingface.co/Andi/bert-tt-ner-1
### Model Description : No model card New: Create and edit this model card directly on the website! |
Andranik/TestPytorchClassification | https://huggingface.co/Andranik/TestPytorchClassification | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Andranik/TestPytorchClassification
### Model URL : https://huggingface.co/Andranik/TestPytorchClassification
### Model Description : No model card New: Create and edit this model card directly on the website! |
Andranik/TestQA2 | https://huggingface.co/Andranik/TestQA2 | This model is a fine-tuned version of ahotrod/electra_large_discriminator_squad2_512 on an unknown dataset. More information needed More information needed More information needed The following hyperparameters were used during training: | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Andranik/TestQA2
### Model URL : https://huggingface.co/Andranik/TestQA2
### Model Description : This model is a fine-tuned version of ahotrod/electra_large_discriminator_squad2_512 on an unknown dataset. More information needed More information needed More information needed The following hyperparameters were used during training: |
Andranik/TestQaV1 | https://huggingface.co/Andranik/TestQaV1 | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Andranik/TestQaV1
### Model URL : https://huggingface.co/Andranik/TestQaV1
### Model Description : No model card New: Create and edit this model card directly on the website! |
AndreLiu1225/t5-news-summarizer | https://huggingface.co/AndreLiu1225/t5-news-summarizer | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : AndreLiu1225/t5-news-summarizer
### Model URL : https://huggingface.co/AndreLiu1225/t5-news-summarizer
### Model Description : No model card New: Create and edit this model card directly on the website! |
AndreLiu1225/t5-news | https://huggingface.co/AndreLiu1225/t5-news | This is a pretrained model that was loaded from t5-base. It has been adapted and changed by changing the max_length and summary_length. | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : AndreLiu1225/t5-news
### Model URL : https://huggingface.co/AndreLiu1225/t5-news
### Model Description : This is a pretrained model that was loaded from t5-base. It has been adapted and changed by changing the max_length and summary_length. |
Andres2015/HiggingFaceTest | https://huggingface.co/Andres2015/HiggingFaceTest | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Andres2015/HiggingFaceTest
### Model URL : https://huggingface.co/Andres2015/HiggingFaceTest
### Model Description : No model card New: Create and edit this model card directly on the website! |
AndrewChar/model-QA-5-epoch-RU | https://huggingface.co/AndrewChar/model-QA-5-epoch-RU | This model is a fine-tuned version of AndrewChar/diplom-prod-epoch-4-datast-sber-QA on sberquad
dataset.
It achieves the following results on the evaluation set: Модель отвечающая на вопрос по контектсу
это дипломная работа Контекст должен содержать не более 512 токенов DataSet SberSQuAD
{'exact_match': 54.586, 'f1': 73.644} The following hyperparameters were used during training: | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : AndrewChar/model-QA-5-epoch-RU
### Model URL : https://huggingface.co/AndrewChar/model-QA-5-epoch-RU
### Model Description : This model is a fine-tuned version of AndrewChar/diplom-prod-epoch-4-datast-sber-QA on sberquad
dataset.
It achieves the following results on the evaluation set: Модель отвечающая на вопрос по контектсу
это дипломная работа Контекст должен содержать не более 512 токенов DataSet SberSQuAD
{'exact_match': 54.586, 'f1': 73.644} The following hyperparameters were used during training: |
AndrewMcDowell/wav2vec2-xls-r-1B-german | https://huggingface.co/AndrewMcDowell/wav2vec2-xls-r-1B-german | This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - DE dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : AndrewMcDowell/wav2vec2-xls-r-1B-german
### Model URL : https://huggingface.co/AndrewMcDowell/wav2vec2-xls-r-1B-german
### Model Description : This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - DE dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: |
AndrewMcDowell/wav2vec2-xls-r-1b-arabic | https://huggingface.co/AndrewMcDowell/wav2vec2-xls-r-1b-arabic | This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - AR dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: This model's model-index metadata is invalid:
Schema validation error. "model-index[0].name" is not allowed to be empty | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : AndrewMcDowell/wav2vec2-xls-r-1b-arabic
### Model URL : https://huggingface.co/AndrewMcDowell/wav2vec2-xls-r-1b-arabic
### Model Description : This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - AR dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: This model's model-index metadata is invalid:
Schema validation error. "model-index[0].name" is not allowed to be empty |
AndrewMcDowell/wav2vec2-xls-r-1b-japanese-hiragana-katakana | https://huggingface.co/AndrewMcDowell/wav2vec2-xls-r-1b-japanese-hiragana-katakana | This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - JA dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: This model's model-index metadata is invalid:
Schema validation error. "model-index[0].name" is not allowed to be empty | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : AndrewMcDowell/wav2vec2-xls-r-1b-japanese-hiragana-katakana
### Model URL : https://huggingface.co/AndrewMcDowell/wav2vec2-xls-r-1b-japanese-hiragana-katakana
### Model Description : This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - JA dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: This model's model-index metadata is invalid:
Schema validation error. "model-index[0].name" is not allowed to be empty |
AndrewMcDowell/wav2vec2-xls-r-300m-arabic | https://huggingface.co/AndrewMcDowell/wav2vec2-xls-r-300m-arabic | This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - AR dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : AndrewMcDowell/wav2vec2-xls-r-300m-arabic
### Model URL : https://huggingface.co/AndrewMcDowell/wav2vec2-xls-r-300m-arabic
### Model Description : This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - AR dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: |
AndrewMcDowell/wav2vec2-xls-r-300m-german-de | https://huggingface.co/AndrewMcDowell/wav2vec2-xls-r-300m-german-de | This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - DE dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : AndrewMcDowell/wav2vec2-xls-r-300m-german-de
### Model URL : https://huggingface.co/AndrewMcDowell/wav2vec2-xls-r-300m-german-de
### Model Description : This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - DE dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: |
AndrewMcDowell/wav2vec2-xls-r-300m-japanese | https://huggingface.co/AndrewMcDowell/wav2vec2-xls-r-300m-japanese | This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - JA dataset. Kanji are converted into Hiragana using the pykakasi library during training and evaluation. The model can output both Hiragana and Katakana characters. Since there is no spacing, WER is not a suitable metric for evaluating performance and CER is more suitable. On mozilla-foundation/common_voice_8_0 it achieved: On speech-recognition-community-v2/dev_data it achieved: It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : AndrewMcDowell/wav2vec2-xls-r-300m-japanese
### Model URL : https://huggingface.co/AndrewMcDowell/wav2vec2-xls-r-300m-japanese
### Model Description : This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - JA dataset. Kanji are converted into Hiragana using the pykakasi library during training and evaluation. The model can output both Hiragana and Katakana characters. Since there is no spacing, WER is not a suitable metric for evaluating performance and CER is more suitable. On mozilla-foundation/common_voice_8_0 it achieved: On speech-recognition-community-v2/dev_data it achieved: It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: |
AndrewNLP/redditDepressionPropensityClassifiers | https://huggingface.co/AndrewNLP/redditDepressionPropensityClassifiers | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : AndrewNLP/redditDepressionPropensityClassifiers
### Model URL : https://huggingface.co/AndrewNLP/redditDepressionPropensityClassifiers
### Model Description : No model card New: Create and edit this model card directly on the website! |
Andrey1989/bert-multilingual-finetuned-ner | https://huggingface.co/Andrey1989/bert-multilingual-finetuned-ner | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Andrey1989/bert-multilingual-finetuned-ner
### Model URL : https://huggingface.co/Andrey1989/bert-multilingual-finetuned-ner
### Model Description : No model card New: Create and edit this model card directly on the website! |
Andrey1989/mbart-finetuned-en-to-kk | https://huggingface.co/Andrey1989/mbart-finetuned-en-to-kk | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Andrey1989/mbart-finetuned-en-to-kk
### Model URL : https://huggingface.co/Andrey1989/mbart-finetuned-en-to-kk
### Model Description : No model card New: Create and edit this model card directly on the website! |
Andrey1989/mbert-finetuned-ner | https://huggingface.co/Andrey1989/mbert-finetuned-ner | This model is a fine-tuned version of bert-base-multilingual-cased on the wikiann dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Andrey1989/mbert-finetuned-ner
### Model URL : https://huggingface.co/Andrey1989/mbert-finetuned-ner
### Model Description : This model is a fine-tuned version of bert-base-multilingual-cased on the wikiann dataset.
It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training: |
Andrey1989/mbert-finetuned-ner_2 | https://huggingface.co/Andrey1989/mbert-finetuned-ner_2 | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Andrey1989/mbert-finetuned-ner_2
### Model URL : https://huggingface.co/Andrey1989/mbert-finetuned-ner_2
### Model Description : No model card New: Create and edit this model card directly on the website! |
Andrey1989/mt5-small-finetuned-mlsum-es | https://huggingface.co/Andrey1989/mt5-small-finetuned-mlsum-es | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Andrey1989/mt5-small-finetuned-mlsum-es
### Model URL : https://huggingface.co/Andrey1989/mt5-small-finetuned-mlsum-es
### Model Description : No model card New: Create and edit this model card directly on the website! |
Andrey1989/mt5-small-finetuned-mlsum-fr | https://huggingface.co/Andrey1989/mt5-small-finetuned-mlsum-fr | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Andrey1989/mt5-small-finetuned-mlsum-fr
### Model URL : https://huggingface.co/Andrey1989/mt5-small-finetuned-mlsum-fr
### Model Description : No model card New: Create and edit this model card directly on the website! |
Andrey78/my_model_nlp | https://huggingface.co/Andrey78/my_model_nlp | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Andrey78/my_model_nlp
### Model URL : https://huggingface.co/Andrey78/my_model_nlp
### Model Description : No model card New: Create and edit this model card directly on the website! |
Andrey78/my_nlp_test_model | https://huggingface.co/Andrey78/my_nlp_test_model | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Andrey78/my_nlp_test_model
### Model URL : https://huggingface.co/Andrey78/my_nlp_test_model
### Model Description : No model card New: Create and edit this model card directly on the website! |
Andrianos/bert-base-greek-punctuation-prediction-finetuned | https://huggingface.co/Andrianos/bert-base-greek-punctuation-prediction-finetuned | This repository is publicly accessible, but
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This model is a finetuning of bert-base-greek-uncased as a Token Classifier which predicts at each token which punctuation mark it is followed by. The model preprocesses everything to lowercase and removes all Greek diacritics. For information on pretraining of the Greek Bert model, please refer to Greek Bert Epochs: 5Maximum Sequence Length: 512Learning Rate: 4e−5Batch Size: 16 Finetuning Data:Greek Europarl data available at: https://opus.nlpl.eu/Europarl.php Tokens: 44.1MSentences: 1.6M Punctuation Points Recognised:'.' (0) : Full stop',' (1) : Comma';' (2) : Greek question mark'-' (3) : Dash':' (4) : Semicolon'0' (5) : No punctuation point is following If you are interested in trying out examples and finding the limitations of the model, the starter Python code to use the model is available at Github Repo Using the demo script, we tried out a few brief examples and show the results below The last two examples have identical meanings, the first is written in plain Modern Greek and the latter in the Cypriot Dialect. It is interesting to see the model performs similarly, even if some words and suffixes are out of vocabulary. We would be happy to hear people have finetuned this model with more and diverse datasets, as we expect this to increase robustness.
Within our research, improvements to consistency in punctuation prediction have shown to be possible with techniques such as sliding windows (during inference) for larger documents, weighted loss and ensembling of different models. Make sure to cite our work when you further our models with the aforementioned techniques. This model is further work based on the winning submission at Shared Task 2 Sentence End and Punctuation Prediction in NLG Text at SwissText2021.The winning submission is entitled "UZH OnPoint at Swisstext-2021: Sentence End and Punctuation Prediction in NLG Text Through Ensembling of Different Transformers" in the Proceedings of the 6th SwissText Held Online. It is publicly available at http://ceur-ws.org/Vol-2957/sepp_paper2.pdf If you use the model, please cite the following: @inproceedings{ST2021-OnPoint,
title={UZH OnPoint at Swisstext-2021: Sentence End and Punctuation Prediction in NLG Text Through Ensembling of Different Transformers},
author={Michail, Andrianos and Wehrli, Silvan and Bucková, Terézia},
booktitle={Proceedings of the 1st Shared Task on Sentence
End and Punctuation Prediction in NLG Text (SEPPNLG 2021) at SwissText 2021},
year={2021}
} Model Finetuned and released by Andrianos Michail with resources provided by Department of Computational Linguistics, University of Zurich | Github: @Andrian0s | LinkedIn: amichail2 | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Andrianos/bert-base-greek-punctuation-prediction-finetuned
### Model URL : https://huggingface.co/Andrianos/bert-base-greek-punctuation-prediction-finetuned
### Model Description : This repository is publicly accessible, but
you have to accept the conditions to access its files and content.
Log in
or
Sign Up
to review the conditions and access this model content.
This model is a finetuning of bert-base-greek-uncased as a Token Classifier which predicts at each token which punctuation mark it is followed by. The model preprocesses everything to lowercase and removes all Greek diacritics. For information on pretraining of the Greek Bert model, please refer to Greek Bert Epochs: 5Maximum Sequence Length: 512Learning Rate: 4e−5Batch Size: 16 Finetuning Data:Greek Europarl data available at: https://opus.nlpl.eu/Europarl.php Tokens: 44.1MSentences: 1.6M Punctuation Points Recognised:'.' (0) : Full stop',' (1) : Comma';' (2) : Greek question mark'-' (3) : Dash':' (4) : Semicolon'0' (5) : No punctuation point is following If you are interested in trying out examples and finding the limitations of the model, the starter Python code to use the model is available at Github Repo Using the demo script, we tried out a few brief examples and show the results below The last two examples have identical meanings, the first is written in plain Modern Greek and the latter in the Cypriot Dialect. It is interesting to see the model performs similarly, even if some words and suffixes are out of vocabulary. We would be happy to hear people have finetuned this model with more and diverse datasets, as we expect this to increase robustness.
Within our research, improvements to consistency in punctuation prediction have shown to be possible with techniques such as sliding windows (during inference) for larger documents, weighted loss and ensembling of different models. Make sure to cite our work when you further our models with the aforementioned techniques. This model is further work based on the winning submission at Shared Task 2 Sentence End and Punctuation Prediction in NLG Text at SwissText2021.The winning submission is entitled "UZH OnPoint at Swisstext-2021: Sentence End and Punctuation Prediction in NLG Text Through Ensembling of Different Transformers" in the Proceedings of the 6th SwissText Held Online. It is publicly available at http://ceur-ws.org/Vol-2957/sepp_paper2.pdf If you use the model, please cite the following: @inproceedings{ST2021-OnPoint,
title={UZH OnPoint at Swisstext-2021: Sentence End and Punctuation Prediction in NLG Text Through Ensembling of Different Transformers},
author={Michail, Andrianos and Wehrli, Silvan and Bucková, Terézia},
booktitle={Proceedings of the 1st Shared Task on Sentence
End and Punctuation Prediction in NLG Text (SEPPNLG 2021) at SwissText 2021},
year={2021}
} Model Finetuned and released by Andrianos Michail with resources provided by Department of Computational Linguistics, University of Zurich | Github: @Andrian0s | LinkedIn: amichail2 |
Andrija/M-bert-NER | https://huggingface.co/Andrija/M-bert-NER | Named Entity Recognition (Token Classification Head) for Serbian / Croatian languges. | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Andrija/M-bert-NER
### Model URL : https://huggingface.co/Andrija/M-bert-NER
### Model Description : Named Entity Recognition (Token Classification Head) for Serbian / Croatian languges. |
Andrija/RobertaFastBPE | https://huggingface.co/Andrija/RobertaFastBPE | from transformers import RobertaTokenizerFast
tokenizer = RobertaTokenizerFast.from_pretrained('Andrija/RobertaFastBPE', bos_token="<s>", eos_token="</s>") encoded = tokenizer('Stručnjaci te bolnice, predvođeni dr Alisom Lim') tokenizer.decode(encoded['input_ids']) | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Andrija/RobertaFastBPE
### Model URL : https://huggingface.co/Andrija/RobertaFastBPE
### Model Description : from transformers import RobertaTokenizerFast
tokenizer = RobertaTokenizerFast.from_pretrained('Andrija/RobertaFastBPE', bos_token="<s>", eos_token="</s>") encoded = tokenizer('Stručnjaci te bolnice, predvođeni dr Alisom Lim') tokenizer.decode(encoded['input_ids']) |
Andrija/SRoBERTa-F | https://huggingface.co/Andrija/SRoBERTa-F | Trained on 43GB datasets that contain Croatian and Serbian language for one epochs (9.6 mil. steps, 3 epochs).
Leipzig Corpus, OSCAR, srWac, hrWac, cc100-hr and cc100-sr datasets Validation number of exampels run for perplexity:1620487 sentences
Perplexity:6.02
Start loss: 8.6
Final loss: 2.0
Thoughts: Model could be trained more, the training did not stagnate. | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Andrija/SRoBERTa-F
### Model URL : https://huggingface.co/Andrija/SRoBERTa-F
### Model Description : Trained on 43GB datasets that contain Croatian and Serbian language for one epochs (9.6 mil. steps, 3 epochs).
Leipzig Corpus, OSCAR, srWac, hrWac, cc100-hr and cc100-sr datasets Validation number of exampels run for perplexity:1620487 sentences
Perplexity:6.02
Start loss: 8.6
Final loss: 2.0
Thoughts: Model could be trained more, the training did not stagnate. |
Andrija/SRoBERTa-L-NER | https://huggingface.co/Andrija/SRoBERTa-L-NER | Named Entity Recognition (Token Classification Head) for Serbian / Croatian languges. | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Andrija/SRoBERTa-L-NER
### Model URL : https://huggingface.co/Andrija/SRoBERTa-L-NER
### Model Description : Named Entity Recognition (Token Classification Head) for Serbian / Croatian languges. |
Andrija/SRoBERTa-L | https://huggingface.co/Andrija/SRoBERTa-L | Trained on 6GB datasets that contain Croatian and Serbian language for two epochs (500k steps).
Leipzig, OSCAR and srWac datasets | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Andrija/SRoBERTa-L
### Model URL : https://huggingface.co/Andrija/SRoBERTa-L
### Model Description : Trained on 6GB datasets that contain Croatian and Serbian language for two epochs (500k steps).
Leipzig, OSCAR and srWac datasets |
Andrija/SRoBERTa-NER | https://huggingface.co/Andrija/SRoBERTa-NER | Named Entity Recognition (Token Classification Head) for Serbian / Croatian languges. | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Andrija/SRoBERTa-NER
### Model URL : https://huggingface.co/Andrija/SRoBERTa-NER
### Model Description : Named Entity Recognition (Token Classification Head) for Serbian / Croatian languges. |
Andrija/SRoBERTa-NLP | https://huggingface.co/Andrija/SRoBERTa-NLP | No model card New: Create and edit this model card directly on the website! | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Andrija/SRoBERTa-NLP
### Model URL : https://huggingface.co/Andrija/SRoBERTa-NLP
### Model Description : No model card New: Create and edit this model card directly on the website! |
Andrija/SRoBERTa-XL-NER | https://huggingface.co/Andrija/SRoBERTa-XL-NER | Named Entity Recognition (Token Classification Head) for Serbian / Croatian languges. | Indicators looking for configurations to recommend AI models for configuring AI agents
### Model Name : Andrija/SRoBERTa-XL-NER
### Model URL : https://huggingface.co/Andrija/SRoBERTa-XL-NER
### Model Description : Named Entity Recognition (Token Classification Head) for Serbian / Croatian languges. |