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--- |
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language: en |
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widget: |
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- text: "I got a surprise for you, Morty." |
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license: apache-2.0 |
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--- |
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# liam168/chat-DialoGPT-small-en |
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## Model description |
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用英文聊天数据训练的模型； |
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### How to use |
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Now we are ready to try out how the model works as a chatting partner! |
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```python |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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import torch |
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mode_name = 'liam168/chat-DialoGPT-small-en' |
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tokenizer = AutoTokenizer.from_pretrained(mode_name) |
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model = AutoModelForCausalLM.from_pretrained(mode_name) |
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# Let's chat for 5 lines |
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for step in range(5): |
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# encode the new user input, add the eos_token and return a tensor in Pytorch |
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new_user_input_ids = tokenizer.encode(input(">> User:") + tokenizer.eos_token, return_tensors='pt') |
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# append the new user input tokens to the chat history |
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bot_input_ids = torch.cat([chat_history_ids, new_user_input_ids], dim=-1) if step > 0 else new_user_input_ids |
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# generated a response while limiting the total chat history to 1000 tokens, |
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chat_history_ids = model.generate(bot_input_ids, max_length=1000, pad_token_id=tokenizer.eos_token_id) |
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# pretty print last ouput tokens from bot |
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print("Answer: {}".format(tokenizer.decode(chat_history_ids[:, bot_input_ids.shape[-1]:][0], skip_special_tokens=True))) |
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``` |
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