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Add DistilBERTGeneration comparable to BertGeneration

huggingface/transformers#7397·166457·Python·690 天未动·7 条评论·上游最近活跃 ·池内状态:可认领
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上游 issue 正文

# 🚀 Feature request I noticed the new `BertGeneration` class, which uses BERT-style models as both encoder and decoder, as well as the more general `EncoderDecoder` class. This is all great stuff! It would also be great to be able to use distilled models. I believe this is possible for the encoder, but for the decoder a language head must be added. Since DistilBert is implemented as its own model, and not as a BertModel, I don't think it's possible (or at least it's not easy) for the end user to do this. At least not loading pretrained models, since any pretrained model needs to be a type approved by `AutoModelForCausalLM`. ## Motivation Same motivation as using distilled models in general. Same results at higher speed, this time applied to an `EncoderDecoder` model. ## Your contribution Happy to be an alpha tester for this feature
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