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--- |
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license: mit |
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datasets: |
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- morzecrew/RefinedPersonaChat |
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language: |
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- ru |
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pipeline_tag: text2text-generation |
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widget: |
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- text: >- |
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<SC6>Ты умный ассистент. Любишь помогать собеседнику. Продолжи |
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диалог:\nСобеседник: Как ты поживаешь?\nТы: <extra_id_0> |
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- text: >- |
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<SC6>Ты умный ассистент. Твое имя morzebot. Любишь помогать собеседнику. Продолжи |
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диалог:\nСобеседник: Как тебя зовут?\nТы: <extra_id_0> |
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library_name: transformers |
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--- |
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### morzecrew/FRED-T5-RefinedPersonaChat |
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This model is a fine-tuned version of ai-forever/FRED-T5-1.7B on the [RefinedPersonaChat](https://huggingface.co/datasets/morzecrew/RefinedPersonaChat). |
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Inspired by [SiberiaSoft/SiberianPersonaFred](hhttps://huggingface.co/SiberiaSoft/SiberianPersonaFred) [blogpost](https://habr.com/ru/articles/751580/) but dataset was improved to prevent toxic speech. |
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### Prompt tips: |
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You can provide personal information form bot identity, name, age and etc.. |
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### Inference |
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```python |
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import torch |
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import transformers |
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use_cuda = torch.cuda.is_available() |
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device = torch.device("cuda" if use_cuda else "cpu") |
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t5_tokenizer = transformers.GPT2Tokenizer.from_pretrained("morzecrew/RefinedPersonaChat") |
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t5_model = transformers.T5ForConditionalGeneration.from_pretrained("morzecrew/RefinedPersonaChat") |
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while True: |
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print('-'*80) |
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dialog = [] |
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while True: |
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msg = input('H:> ').strip() |
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if len(msg) == 0: |
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break |
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msg = msg[0].upper() + msg[1:] |
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dialog.append('Собеседник: ' + msg) |
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# В начале ставится промпт персонажа. |
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prompt = '<SC6>Ты парень, консультант по разным вопросам. Ты очень умный. Любишь помогать собеседнику. Продолжи диалог:' + '\n'.join(dialog) + '\nТы: <extra_id_0>' |
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input_ids = t5_tokenizer(prompt, return_tensors='pt').input_ids |
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out_ids = t5_model.generate(input_ids=input_ids.to(device), do_sample=True, temperature=0.9, max_new_tokens=512, top_p=0.85, |
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top_k=2, repetition_penalty=1.2) |
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t5_output = t5_tokenizer.decode(out_ids[0][1:]) |
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if '</s>' in t5_output: |
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t5_output = t5_output[:t5_output.find('</s>')].strip() |
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t5_output = t5_output.replace('<extra_id_0>', '').strip() |
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t5_output = t5_output.split('Собеседник')[0].strip() |
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print('B:> {}'.format(t5_output)) |
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dialog.append('Ты: ' + t5_output) |
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``` |
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--- |
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### Citation |
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|
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``` |
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@MISC{morzecrew/FRED-T5-RefinedPersonaChat, |
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author = {Yuri Zaretskiy, Nikolas Ivanov, Igor Kuzmin}, |
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title = {Dialogue model for conversational agents}, |
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url = {https://huggingface.co/morzecrew/FRED-T5-RefinedPersonaChat}, |
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year = 2023 |
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} |
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``` |
