Create README.md
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README.md
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---
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license: mit
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widget:
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- text: |-
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<SC1>- как ты?
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- <extra_id_0>
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example_title: how r u
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language:
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- ru
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tags:
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- conversational
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---
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How to use:
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```python
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import torch
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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device='cuda'
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tokenizer = AutoTokenizer.from_pretrained('TeraSpace/dialofrednocontext_V2')
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model = AutoModelForSeq2SeqLM.from_pretrained('TeraSpace/dialofrednocontext_V2').to(device)
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while True:
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text_inp = input("=>")
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lm_text=f'<SC1>- {text_inp}\n- <extra_id_0>'
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input_ids=torch.tensor([tokenizer.encode(lm_text)]).to(device)
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# outputs=model.generate(input_ids=input_ids,
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# max_length=200,
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# eos_token_id=tokenizer.eos_token_id,
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# early_stopping=True,
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# do_sample=True,
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# temperature=1.0,
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# top_k=0,
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# top_p=0.85)
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# outputs=model.generate(input_ids,eos_token_id=tokenizer.eos_token_id,early_stopping=True)
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outputs=model.generate(input_ids=input_ids,
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max_length=200,
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eos_token_id=tokenizer.eos_token_id,
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early_stopping=True,
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do_sample=True,
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temperature=0.7,
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top_k=0,
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top_p=0.8)
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print(tokenizer.decode(outputs[0][1:]))
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```
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