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--- |
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language: |
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- en |
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tags: |
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- pytorch |
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- coai |
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pipeline_tag: conversational |
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--- |
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[blenderbot-400M-distill](https://huggingface.co/facebook/blenderbot-400M-distill) fine-tuned on the [ESConv dataset](https://github.com/thu-coai/Emotional-Support-Conversation). Usage example: |
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```python |
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import torch |
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from transformers import AutoTokenizer |
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from transformers.models.blenderbot import BlenderbotTokenizer, BlenderbotForConditionalGeneration |
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def _norm(x): |
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return ' '.join(x.strip().split()) |
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tokenizer = BlenderbotTokenizer.from_pretrained('thu-coai/blenderbot-400M-esconv') |
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model = BlenderbotForConditionalGeneration.from_pretrained('thu-coai/blenderbot-400M-esconv') |
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model.eval() |
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utterances = [ |
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"I am having a lot of anxiety about quitting my current job. It is too stressful but pays well", |
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"What makes your job stressful for you?", |
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"I have to deal with many people in hard financial situations and it is upsetting", |
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"Do you help your clients to make it to a better financial situation?", |
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"I do, but often they are not going to get back to what they want. Many people are going to lose their home when safeguards are lifted", |
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] |
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input_sequence = ' '.join([' ' + e for e in utterances]) + tokenizer.eos_token # add space prefix and separate utterances with two spaces |
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input_ids = tokenizer.convert_tokens_to_ids(tokenizer.tokenize(input_sequence))[-128:] |
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input_ids = torch.LongTensor([input_ids]) |
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model_output = model.generate(input_ids, num_beams=1, do_sample=True, top_p=0.9, num_return_sequences=5, return_dict=False) |
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generation = tokenizer.batch_decode(model_output, skip_special_tokens=True) |
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generation = [_norm(e) for e in generation] |
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print(generation) |
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utterances.append(generation[0]) # for future loop |
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``` |
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Please kindly cite the [original paper](https://arxiv.org/abs/2106.01144) if you use this model: |
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```bib |
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@inproceedings{liu-etal-2021-towards, |
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title={Towards Emotional Support Dialog Systems}, |
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author={Liu, Siyang and |
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Zheng, Chujie and |
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Demasi, Orianna and |
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Sabour, Sahand and |
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Li, Yu and |
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Yu, Zhou and |
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Jiang, Yong and |
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Huang, Minlie}, |
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booktitle={Proceedings of the 59th annual meeting of the Association for Computational Linguistics}, |
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year={2021} |
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} |
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``` |
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