New Model additions

WavLM

WavLM was proposed in WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing by Sanyuan Chen, Chengyi Wang, Zhengyang Chen, Yu Wu, Shujie Liu, Zhuo Chen, Jinyu Li, Naoyuki Kanda, Takuya Yoshioka, Xiong Xiao, Jian Wu, Long Zhou, Shuo Ren, Yanmin Qian, Yao Qian, Jian Wu, Michael Zeng, Furu Wei.

WavLM sets a new SOTA on the SUPERB benchmark.

Compatible checkpoints can be found on the hub: https://huggingface.co/models?other=wavlm

• Add WavLM by @patrickvonplaten in https://github.com/huggingface/transformers/pull/14354

Wav2Vec2Phoneme

Wav2Vec2Phoneme was proposed in Simple and Effective Zero-shot Cross-lingual Phoneme Recognition by Qiantong Xu, Alexei Baevski, Michael Auli. Wav2Vec2Phoneme allows to do phoneme classification as part of automatic speech recognition

• [Wav2Vec2 Phoneme] Let phonemizer lang default to tokenizer's settings by @patrickvonplaten in https://github.com/huggingface/transformers/pull/14829

Compatible checkpoints can be found on the hub: https://huggingface.co/models?other=phoneme-recognition

UniSpeech-SAT

Unispeech-SAT was proposed in UNISPEECH-SAT: UNIVERSAL SPEECH REPRESENTATION LEARNING WITH SPEAKER AWARE PRE-TRAINING by Sanyuan Chen, Yu Wu, Chengyi Wang, Zhengyang Chen, Zhuo Chen, Shujie Liu, Jian Wu, Yao Qian, Furu Wei, Jinyu Li, Xiangzhan Yu.

UniSpeech-SAT is especially good at speaker related tasks.

Compatible checkpoints can be found on the hub: https://huggingface.co/models?other=unispeech-sat

UniSpeech

Unispeech was proposed in UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data by Chengyi Wang, Yu Wu, Yao Qian, Kenichi Kumatani, Shujie Liu, Furu Wei, Michael Zeng, Xuedong Huang. Three new models are released as part of the ImageGPT integration: ImageGPTModel, ImageGPTForCausalImageModeling, ImageGPTForImageClassification, in PyTorch.

Compatible checkpoints can be found on the hub: https://huggingface.co/models?other=unispeech

New Tasks

Speaker Diarization and Verification

Wav2Vec2-like architecture now have a speaker diarization and speaker verification head added to their architectures. You can try out the new task here: https://huggingface.co/spaces/microsoft/wavlm-speaker-verification

• Add Speaker Diarization and Verification heads by @anton-l in https://github.com/huggingface/transformers/pull/14723

What's Changed

• Move import to avoid circular import by @sgugger in https://github.com/huggingface/transformers/pull/14787
• PoC for conserving old links by @sgugger in https://github.com/huggingface/transformers/pull/14754
• Removes images to put them in a dataset by @LysandreJik in https://github.com/huggingface/transformers/pull/14781
• Post sphinx-clean up and contributing guide updates by @sgugger in https://github.com/huggingface/transformers/pull/14790
• Fix the build documentation job by @sgugger in https://github.com/huggingface/transformers/pull/14788
• Update CONTRIBUTING.md by @kamalkraj in https://github.com/huggingface/transformers/pull/14799
• Update CONTRIBUTING.md by @kamalkraj in https://github.com/huggingface/transformers/pull/14800
• Train step fix by @Rocketknight1 in https://github.com/huggingface/transformers/pull/14796
• [Generate] Make generate multi-modal by @patrickvonplaten in https://github.com/huggingface/transformers/pull/14784
• Remove require_datasets testing utility by @LysandreJik in https://github.com/huggingface/transformers/pull/14795
• [WavLM] Correct position bias computation by @patrickvonplaten in https://github.com/huggingface/transformers/pull/14805
• Fix Perceiver multi GPU test by @NielsRogge in https://github.com/huggingface/transformers/pull/14810
• [WavLM] Layerdrop is not allowed for first layer by @patrickvonplaten in https://github.com/huggingface/transformers/pull/14811
• [Generate] Correct input_ids detection by @patrickvonplaten in https://github.com/huggingface/transformers/pull/14815
• Implement head_mask for Flax BERT and other models copied from BERT by @stancld in https://github.com/huggingface/transformers/pull/14620
• Convert rst to mdx bert by @LysandreJik in https://github.com/huggingface/transformers/pull/14806
• Wav2Vec2 meets phonemes by @patrickvonplaten in https://github.com/huggingface/transformers/pull/14353
• [ImageGPT] Deprecate pixel_values input name to input_ids by @patrickvonplaten in https://github.com/huggingface/transformers/pull/14801
• [Seq2SeqTrainer] Remove model input name hack by @patrickvonplaten in https://github.com/huggingface/transformers/pull/14802
• [WavLM] Fix slow tests by @patrickvonplaten in https://github.com/huggingface/transformers/pull/14845
• Add SD and SV heads for WavLM by @anton-l in https://github.com/huggingface/transformers/pull/14847
• Add an argument to set bucket_cap_mb for PyTorch DDP by @changlan in https://github.com/huggingface/transformers/pull/14756
• Update CONTRIBUTING.md by @kamalkraj in https://github.com/huggingface/transformers/pull/14835
• Fix dead link to benchmarks.ipynb by @DerekChia in https://github.com/huggingface/transformers/pull/14842
• [Perceiver] Skip multi-gpu tests for now by @patrickvonplaten in https://github.com/huggingface/transformers/pull/14813
• Add 'with torch.no_grad()' to DeBERTa integration test forward pass by @henholm in https://github.com/huggingface/transformers/pull/14821
• Add 'with torch.no_grad()' to BERT integration test forward pass by @henholm in https://github.com/huggingface/transformers/pull/14820
• Add a main_input_name attribute to all models by @sgugger in https://github.com/huggingface/transformers/pull/14803
• [doc] typo by @stas00 in https://github.com/huggingface/transformers/pull/14849
• [logging] implement warning_advice / TRANSFORMERS_NO_ADVISORY_WARNINGS by @stas00 in https://github.com/huggingface/transformers/pull/14669
• Make the onnx submodule init lazy by @sgugger in https://github.com/huggingface/transformers/pull/14855
• Convert docstrings of modeling files by @sgugger in https://github.com/huggingface/transformers/pull/14850
• [Bart] better error message by @patrickvonplaten in https://github.com/huggingface/transformers/pull/14854
• Only create the model card on process 0 by @sgugger in https://github.com/huggingface/transformers/pull/14857
• [ASR example] Improve example + add more examples by @patrickvonplaten in https://github.com/huggingface/transformers/pull/14848
• Fix the value error typo of AdamW's betas' valid values checking by @dourgey in https://github.com/huggingface/transformers/pull/14780
• Add custom stopping_criteria and logits_processor to generate by @lvwerra in https://github.com/huggingface/transformers/pull/14779
• Replace commit sha by commit url for update jobs by @sgugger in https://github.com/huggingface/transformers/pull/14852
• [examples/summarization] deal with None in data records by @stas00 in https://github.com/huggingface/transformers/pull/14816
• [doc porting] several docs by @stas00 in https://github.com/huggingface/transformers/pull/14858
• Mass conversion of documentation from rst to Markdown by @sgugger in https://github.com/huggingface/transformers/pull/14866
• Fix FLAX_MULTIPLE_CHOICE_SAMPLE typo by @mishig25 in https://github.com/huggingface/transformers/pull/14871
• Fixes in marian doc by @sgugger in https://github.com/huggingface/transformers/pull/14872
• Fix FlaxMarianMTModel return block. by @sgugger in https://github.com/huggingface/transformers/pull/14873
• Fix doc mistakes by @sgugger in https://github.com/huggingface/transformers/pull/14874
• Convert model files from rst to mdx by @LysandreJik in https://github.com/huggingface/transformers/pull/14865
• update the arguments add_prefix_space and trim_offsets in backend_tokenizer.post_processor of RobertaTokenizerFast by @SaulLu in https://github.com/huggingface/transformers/pull/14752
• Feature/fix slow test in mluke by @Ryou0634 in https://github.com/huggingface/transformers/pull/14749
• Updated deberta attention by @guillaume-be in https://github.com/huggingface/transformers/pull/14625
• IterableDatasetShard should use per device batch size instead of real… by @SysuCharon in https://github.com/huggingface/transformers/pull/14714
• Fix Perceiver code example by @NielsRogge in https://github.com/huggingface/transformers/pull/14879
• Fix pytorch image classification example by @mariosasko in https://github.com/huggingface/transformers/pull/14883
• Onnx enable tasks for supported models (part 2) by @michaelbenayoun in https://github.com/huggingface/transformers/pull/14700
• Properly indent return block by @sgugger in https://github.com/huggingface/transformers/pull/14887

New Contributors

• @changlan made their first contribution in https://github.com/huggingface/transformers/pull/14756
• @DerekChia made their first contribution in https://github.com/huggingface/transformers/pull/14842
• @henholm made their first contribution in https://github.com/huggingface/transformers/pull/14821
• @dourgey made their first contribution in https://github.com/huggingface/transformers/pull/14780
• @SysuCharon made their first contribution in https://github.com/huggingface/transformers/pull/14714

Full Changelog: https://github.com/huggingface/transformers/compare/v4.14.0...v4.15.0