语言: 英文
数据集:

• TaPaCo

用于生成改写的T5-small模型

基于谷歌T5-small模型，在TaPaCo数据集上微调，专用于改写任务。

模型实战演示 🚀

from transformers import T5ForConditionalGeneration, T5Tokenizer

tokenizer = T5Tokenizer.from_pretrained("hetpandya/t5-small-tapaco")
model = T5ForConditionalGeneration.from_pretrained("hetpandya/t5-small-tapaco")

def get_paraphrases(sentence, prefix="paraphrase: ", n_predictions=5, top_k=120, max_length=256, device="cpu"):
        text = prefix + sentence + " </s>"
        encoding = tokenizer.encode_plus(
            text, pad_to_max_length=True, return_tensors="pt"
        )
        input_ids, attention_masks = encoding["input_ids"].to(device), encoding[
            "attention_mask"
        ].to(device)

        model_output = model.generate(
            input_ids=input_ids,
            attention_mask=attention_masks,
            do_sample=True,
            max_length=max_length,
            top_k=top_k,
            top_p=0.98,
            early_stopping=True,
            num_return_sequences=n_predictions,
        )

        outputs = []
        for output in model_output:
            generated_sent = tokenizer.decode(
                output, skip_special_tokens=True, clean_up_tokenization_spaces=True
            )
            if (
                generated_sent.lower() != sentence.lower()
                and generated_sent not in outputs
            ):
                outputs.append(generated_sent)
        return outputs

paraphrases = get_paraphrases("The house will be cleaned by me every Saturday.")

for sent in paraphrases:
  print(sent)

输出示例

每周六我会打扫房子。  
房子将在周六被打扫。  
我会每周六清理房屋。  
我每周六都会打扫房子。  
每周六我都会清洁这栋房子。  

模型微调指南

关于如何微调该模型的完整教程，请参阅：

https://towardsdatascience.com/training-t5-for-paraphrase-generation-ab3b5be151a2

由 Het Pandya/@hetpandya 创建 | 领英主页

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