changes to readme

README.md

@@ -7,25 +7,25 @@ widget:
 - text: "[VERB+passive+past: break | PATIENT+partial: cup] <extra_id_0> <extra_id_1> <extra_id_2> ."
 - max_length: 
 ---
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 # Tailor 
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 ## Model description
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 This is a ported version of [Tailor](https://homes.cs.washington.edu/~wtshuang/static/papers/2021-arxiv-tailor.pdf), the general-purpose counterfactual generator.
 For more code release, please refer to [this github page](https://github.com/allenai/tailor).
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 #### How to use
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 ```python
 from transformers import pipeline, AutoTokenizer, AutoModelForSeq2SeqLM
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 model_path = "allenai/tailor"
 generator = pipeline("text2text-generation", 
     model=AutoModelForSeq2SeqLM.from_pretrained(model_path), 
     tokenizer=AutoTokenizer.from_pretrained(model_path),
     framework="pt", device=0)
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 prompt_text = "[VERB+active+past: comfort | AGENT+complete: the doctor | PATIENT+partial: athlete | LOCATIVE+partial: in] <extra_id_0> , <extra_id_1> <extra_id_2> <extra_id_3> ."
 generator(prompt_text, max_length=200)
 ```