Add: Usage Example
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README.md
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This model re-fine-tunes the [ChatGPT Paraphraser on T5 Base](https://huggingface.co/humarin/chatgpt_paraphraser_on_T5_base) with additional Google PAWS dataset.
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## Train parameters
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```python
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epochs = 4
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---
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This model re-fine-tunes the [ChatGPT Paraphraser on T5 Base](https://huggingface.co/humarin/chatgpt_paraphraser_on_T5_base) with additional Google PAWS dataset.
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## Usage example
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```python
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from transformers import pipeline, AutoTokenizer, AutoModelForSeq2SeqLM
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#'cuda' for gpu otherwise use 'cpu'
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device = "cuda"
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model = AutoModelForSeq2SeqLM.from_pretrained("sharad/ParaphraseGPT").to(device)
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tokenizer = AutoTokenizer.from_pretrained("humarin/chatgpt_paraphraser_on_T5_base")
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predict = pipeline("text2text-generation", model=model, tokenizer=tokenizer)
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def paraphrase(sentence):
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generated = predict(
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sentence,
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num_beams=3,
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num_beam_groups=3,
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num_return_sequences=1,
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diversity_penalty=2.0,
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no_repeat_ngram_size=2,
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repetition_penalty=0.99,
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max_length=len(sentence)
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)
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return generated
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output = paraphrase('My sentence to paraphrase...')
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print(output[0]['generated_text'])
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```
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## Train parameters
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```python
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epochs = 4
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