HuggingFace Finetuning Seq2Seq Transformer Model Coding Tutorial

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In this video, we're going to finetune a t-5 model using HuggingFace to solve a seq2seq problem.

  1. Econoscent
  2. huggingface
  3. transformers
  4. nlp
  5. deep learning
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Комментарии
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Thanks, learned a lot. I've got a question though. To train a chat-bot model (like GODEL), how are we going to tokenize it. Like what's going to be input and what's going to be output?
P.S: Please keep uploading tutorials like this.

aleefbilal
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Hey there! Thank you for the insightful video. I am trying to fine-tune a pre-trained BART model taken from HuggingFace to complete conversational tasks. Do you have any resources for this? Thank you!

ftay
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Hello ! Pretty good video mate, hope you can make more content. I just have a quick question, how can I turn a MLM model into a Seq2Seq in a HuggingFace model in pytorch, do you have any documentation to acomplish this target ? Many thanks !

samuelparada
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hello! Can this be used for semantic search? thank you in advance

etherealshift
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Can this be used for sequential sentence classification?

abdullahalsefat
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Thank you so much, but I was wondering which tokenizer to use in the seq2seq trainer, the one for the input or that for the target? I am trying to use different tokenizers.

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