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--- |
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tags: |
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- conversational |
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license: mit |
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--- |
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## Finetuned DialoGPT model on Spanish Conversations |
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This model was finetuned from the original [DialoGPT-medium](https://huggingface.co/microsoft/DialoGPT-medium) model on subtitles from Spanish movies and telenovelas from the awesome [OpenSubtitle dataset](https://github.com/PolyAI-LDN/conversational-datasets/tree/master/opensubtitles). |
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DialoGPT paper: [https://arxiv.org/abs/1911.00536](https://arxiv.org/abs/1911.00536) |
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Some example dialog from the model: |
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|Role | Response | |
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|---------|--------| |
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|User | ¿Cómo está el clima hoy? | |
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| Bot | Muy bien. | |
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|User | Eso es bueno escuchar. ¿Vas a ir a la playa? | |
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| Bot | No, también puedo regresar. | |
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|User | Oh bien, bueno, iré a la playa más tarde. | |
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| Bot | ¡No! | |
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|User | ¿Qué está mal con eso? | |
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| Bot | ¡Cómo que no! | |
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|User | Estoy confundido, ¿por qué no puedo ir a la playa? | |
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| Bot | ¡Cómo que no! | |
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|User | Explícamelo por favor. | |
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| Bot | ¡No! | |
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## Using the model |
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Example code for trying out the model (taken directly from the [DialoGPT-medium](https://huggingface.co/microsoft/DialoGPT-medium) model card): |
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```python |
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from transformers import AutoModelWithLMHead, AutoTokenizer |
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import torch |
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tokenizer = AutoTokenizer.from_pretrained("ncoop57/DiGPTame-medium") |
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model = AutoModelWithLMHead.from_pretrained("ncoop57/DiGPTame-medium") |
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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("DialoGPT: {}".format(tokenizer.decode(chat_history_ids[:, bot_input_ids.shape[-1]:][0], skip_special_tokens=True))) |
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``` |
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## Training your own model |
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If you would like to finetune your own model or finetune this Spanish model, please checkout my blog post on that exact topic! |
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https://nathancooper.io/i-am-a-nerd/chatbot/deep-learning/gpt2/2020/05/12/chatbot-part-1.html |
