2.37 kB
| --- | |
| tags: | |
| - conversational | |
| license: mit | |
| --- | |
| ## Finetuned DialoGPT model on Spanish Conversations | |
| 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). | |
| DialoGPT paper: [https://arxiv.org/abs/1911.00536](https://arxiv.org/abs/1911.00536) | |
| Some example dialog from the model: | |
| |Role | Response | | |
| |---------|--------| | |
| |User | ¿Cómo está el clima hoy? | | |
| | Bot | Muy bien. | | |
| |User | Eso es bueno escuchar. ¿Vas a ir a la playa? | | |
| | Bot | No, también puedo regresar. | | |
| |User | Oh bien, bueno, iré a la playa más tarde. | | |
| | Bot | ¡No! | | |
| |User | ¿Qué está mal con eso? | | |
| | Bot | ¡Cómo que no! | | |
| |User | Estoy confundido, ¿por qué no puedo ir a la playa? | | |
| | Bot | ¡Cómo que no! | | |
| |User | Explícamelo por favor. | | |
| | Bot | ¡No! | | |
| ## Using the model | |
| Example code for trying out the model (taken directly from the [DialoGPT-medium](https://huggingface.co/microsoft/DialoGPT-medium) model card): | |
| ```python | |
| from transformers import AutoModelWithLMHead, AutoTokenizer | |
| import torch | |
| tokenizer = AutoTokenizer.from_pretrained("ncoop57/DiGPTame-medium") | |
| model = AutoModelWithLMHead.from_pretrained("ncoop57/DiGPTame-medium") | |
| # Let's chat for 5 lines | |
| for step in range(5): | |
| # encode the new user input, add the eos_token and return a tensor in Pytorch | |
| new_user_input_ids = tokenizer.encode(input(">> User:") + tokenizer.eos_token, return_tensors='pt') | |
| # append the new user input tokens to the chat history | |
| bot_input_ids = torch.cat([chat_history_ids, new_user_input_ids], dim=-1) if step > 0 else new_user_input_ids | |
| # generated a response while limiting the total chat history to 1000 tokens, | |
| chat_history_ids = model.generate(bot_input_ids, max_length=1000, pad_token_id=tokenizer.eos_token_id) | |
| # pretty print last ouput tokens from bot | |
| print("DialoGPT: {}".format(tokenizer.decode(chat_history_ids[:, bot_input_ids.shape[-1]:][0], skip_special_tokens=True))) | |
| ``` | |
| ## Training your own model | |
| If you would like to finetune your own model or finetune this Spanish model, please checkout my blog post on that exact topic! | |
| https://nathancooper.io/i-am-a-nerd/chatbot/deep-learning/gpt2/2020/05/12/chatbot-part-1.html |