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e63b202
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Update README.md

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@@ -92,7 +92,7 @@ model = GPT2LMHeadModel.from_pretrained('gpt2-conversational-retrain')
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  device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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  model.to(device)
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  def generate_text(model, tokenizer, prompt, max_length=1024):
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- prompt = f'<|ASSISTANT|> {prompt} <|USER|> '
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  input_ids = tokenizer.encode(prompt, add_special_tokens=True, return_tensors="pt").to(device)
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  attention_mask = torch.ones_like(input_ids).to(device)
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  output = model.generate(input_ids,
 
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  device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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  model.to(device)
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  def generate_text(model, tokenizer, prompt, max_length=1024):
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+ prompt = f'<|USER|> {prompt} <|ASSISTANT|> '
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  input_ids = tokenizer.encode(prompt, add_special_tokens=True, return_tensors="pt").to(device)
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  attention_mask = torch.ones_like(input_ids).to(device)
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  output = model.generate(input_ids,