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--- |
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language: |
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- en |
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- hi |
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- multilingual |
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tags: |
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- text2text-generation |
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widget: |
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- text: Is it snowing in New York? |
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example_title: Is it snowing in New York? |
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- text: Is it raining in Hawaii? |
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example_title: Is it raining in Hawaii? |
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- text: Turn off music. |
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example_title: Turn off music. |
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datasets: |
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- rvv-karma/English-Hinglish-TOP |
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license: apache-2.0 |
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pipeline_tag: text2text-generation |
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--- |
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# English2Hinglish-Flan-T5-Base |
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This is a finetuned model of [Flan T5 Base](https://huggingface.co/google/flan-t5-base) with [English-Hinglish-TOP](https://huggingface.co/datasets/rvv-karma/English-Hinglish-TOP) dataset. |
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## Usage |
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```python |
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# Load model directly |
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM |
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model_name = "rvv-karma/English2Hinglish-Flan-T5-Base" |
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tokenizer = AutoTokenizer.from_pretrained(model_name) |
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model = AutoModelForSeq2SeqLM.from_pretrained(model_name) |
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input_text = "What are you doing?" |
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input_ids = tokenizer(input_text, return_tensors="pt") |
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output_ids = model.generate(**input_ids) |
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output_text = tokenizer.decode(output_ids[0], skip_special_tokens=True) |
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print(output_text) |
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``` |
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## Fine-tuning script |
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[Google Colaboratory Notebook](https://colab.research.google.com/drive/11fUHem8r8qe_Ildh2_1XjOEY-Zyoy5j8?usp=sharing) |
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## References |
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[DataCamp](https://www.datacamp.com/tutorial/flan-t5-tutorial) |
