Text Classification
Transformers
PyTorch
Safetensors
English
bert
Trained with AutoTrain
text-embeddings-inference
Instructions to use librarian-bots/model-card-dataset-mentions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use librarian-bots/model-card-dataset-mentions with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="librarian-bots/model-card-dataset-mentions")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("librarian-bots/model-card-dataset-mentions") model = AutoModelForSequenceClassification.from_pretrained("librarian-bots/model-card-dataset-mentions") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:85f1b401f8441ebae8656bf572660ca04e3d35690b3cc5b1b7d49ddd37b43e9b
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size 433274952
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