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Pinned
1,861 contributions in the last year
Activity overview
Contribution activity
October 2020
- ElectraTokenizerFast
- Fix #7731
- Fix DeBERTa integration tests
- Do not softmax when num_labels==1
- Fix RobertaForCausalLM docs
- Model templates
- Add GPT2 to sequence classification auto model
- [No merge] TF integration testing
- Fix squeezebert docs
- Documentation framework toggle should stick
- Add Electra unexpected keys
- Add GPT2ForSequenceClassification based on DialogRPT
- [Dependencies|tokenizers] Make both SentencePiece and Tokenizers optional dependencies
- New TF model design
- Add TFBartForConditionalGeneration
- [testing] disable FutureWarning in examples tests
- Small fixes to HP search
- [testing] fix/hide warnings
- simple fix for spurious PyTorch->TF BERT weight conversion warning
- Remove masked_lm_labels from returned dictionary in DataCollatorForNextSentencePrediction
- [cleanup] assign todos, faster bart-cnn test
- Fix small type hinting error
- Herbert polish model
- [Pipelines] Fix links to model lists
- Fix issue #7781
- Small fixes to NotebookProgressCallback
- Fixing beam search output shapes
- Upgrading in pipelines TFAutoModelWithLMHead to new Causal/Masked/Seq2Seq LM classes
- Add specific notebook ProgressCalback
- Don't use `store_xxx` on optional bools
- Add predict step accumulation
- Fix bert position ids in DPR convert script
- Added gpt2 model parallelism
- Add batch inferencing support for GPT2LMHeadModel
- [WIP] Ner pipeline grouped_entities fixes
- fixed lots of typos.
- [Rag] Fix loading of pretrained Rag Tokenizer
- Some pull request reviews not shown.
Created an issue in huggingface/transformers that received 11 comments
Implement PyTorch and/or TensorFlow sequence classification architectures for causal language models
GPT2ForSequenceClassification was added in #7501 in PyTorch. It would be great to have it in TensorFlow (cf. iss…