Vamsi/T5_Paraphrase_Paws

​ ​ T5 Model for generating paraphrases of english sentences. Trained on the [Google PAWS](https://github.com/google-research-datasets/paws) dataset. ​ ​## Requires sentencepiece: # !pip install sentencepiece PyTorch and TF models available ​ from transformers import AutoTokenizer, AutoModelForSeq2SeqLM ​ tokenizer = AutoTokenizer.from_pretrained("Vamsi/T5_Paraphrase_Paws") model = AutoModelForSeq2SeqLM.from_pretrained("Vamsi/T5_Paraphrase_Paws").to('cuda') ​ sentence = "This is something which i cannot understand at all" text = "paraphrase: " + sentence + " </s>" encoding = tokenizer.encode_plus(text,pad_to_max_length=True, return_tensors="pt") input_ids, attention_masks = encoding["input_ids"].to("cuda"), encoding["attention_mask"].to("cuda") outputs = model.generate( input_ids=input_ids, attention_mask=attention_masks, max_length=256, do_sample=True, top_k=120, top_p=0.95, early_stopping=True, num_return_sequences=5 ) for output in outputs: line = tokenizer.decode(output, skip_special_tokens=True,clean_up_tokenization_spaces=True) print(line) ​ For more reference on training your own T5 model or using this model, do check out [Paraphrase Generation](https://github.com/Vamsi995/Paraphrase-Generator).