github huggingface/transformers v4.30.0
v4.30.0: 100k, Agents improvements, Safetensors core dependency, Swiftformer, Autoformer, MobileViTv2, timm-as-a-backbone
on GitHub

latest releases: v4.46.2, v4.46.1, v4.46.0...
17 months ago

100k

Transformers has just reached 100k stars on GitHub, and to celebrate we wanted to highlight 100 projects in the vicinity of transformers and we have decided to create an awesome-transformers page to do just that.

We accept PRs to add projects to the list!

4-bit quantization and QLoRA

By leveraging the bitsandbytes library by @TimDettmers, we add 4-bit support to transformers models!

Agents

The Agents framework has been improved and continues to be stabilized. Among bug fixes, here are the important new features that were added:

  • Local agent capabilities, to load a generative model directly from transformers instead of relying on APIs.
  • Prompts are now hosted on the Hub, which means that anyone can fork the prompts and update them with theirs, to let other community contributors re-use them
  • We add an AzureOpenAiAgent class to support Azure OpenAI agents.

Safetensors

The safetensors library is a safe serialization framework for machine learning tensors. It has been audited and will become the default serialization framework for several organizations (Hugging Face, EleutherAI, Stability AI).

It has now become a core dependency of transformers.

New models

Swiftformer

The SwiftFormer paper introduces a novel efficient additive attention mechanism that effectively replaces the quadratic matrix multiplication operations in the self-attention computation with linear element-wise multiplications. A series of models called ‘SwiftFormer’ is built based on this, which achieves state-of-the-art performance in terms of both accuracy and mobile inference speed. Even their small variant achieves 78.5% top-1 ImageNet1K accuracy with only 0.8 ms latency on iPhone 14, which is more accurate and 2× faster compared to MobileViT-v2.

Autoformer

This model augments the Transformer as a deep decomposition architecture, which can progressively decompose the trend and seasonal components during the forecasting process.

MobileViTv2

MobileViTV2 is the second version of MobileViT, constructed by replacing the multi-headed self-attention in MobileViT with separable self-attention.

PerSAM

PerSAM proposes a minimal modification to SAM to allow dreambooth-like personalization, enabling to segment concepts in new images using just one example.

Timm backbone

We add support for loading timm weights within the AutoBackbone API in transformers. timm models can be instantiated through the TimmBackbone class, and then used with any vision model that needs a backbone.

Image to text pipeline conditional support

We add conditional text generation to the image to text pipeline; allowing the model to continue generating an initial text prompt according to an image.

  • [image-to-text pipeline] Add conditional text support + GIT by @NielsRogge in #23362

TensorFlow implementations

Accelerate Migration

A major rework of the internals of the Trainer is underway, leveraging accelerate instead of redefining them in transformers. This should unify both framework and lead to increased interoperability and more efficient development.

Bugfixes and improvements

  • chore: allow protobuf 3.20.3 requirement by @jose-turintech in #22759

  • Fix link displayed for custom tools by @sgugger in #23274

  • Remove missplaced test file by @sgugger in #23275

  • Bring back the PR Refactor doctests + add CI to main by @ydshieh in #23271

  • [gpt] Gpt2 fix half precision causal mask by @younesbelkada in #23256

  • Temporary tolerance fix for flaky whipser PT-TF equiv. test by @amyeroberts in #23257

  • Add top_k argument to post-process of conditional/deformable-DETR by @CreatlV in #22787

  • transformers-cli -> huggingface-cli by @AlpinDale in #23276

  • Temporarily increase tol for PT-FLAX whisper tests by @amyeroberts in #23288

  • Added missing " in CHAT_PROMPT_TEMPLATE by @galatolofederico in #23287

  • Update custom_tools.mdx: fix link by @mishig25 in #23292

  • Update transformers_agents.mdx by @mishig25 in #23289

  • Convert numpy arrays to lists before saving the evaluation metrics as json by @harisankar95 in #23268

  • Fix doctest files fetch issue by @ydshieh in #23277

  • skip test_run_squad_no_trainer for now by @ydshieh in #23302

  • Better check for packages availability by @apbard in #23163

  • Add gradient_checkpointing parameter to FlaxWhisperEncoder by @raghavanone in #23300

  • Agents extras by @LysandreJik in #23301

  • Fix broken links in the agent docs by @sgugger in #23297

  • Fix typo in gradio-tools docs by @freddyaboulton in #23305

  • Fix image segmentation tool test by @sgugger in #23306

  • unpin tf prob by @ydshieh in #23293

  • Revert "search buffers for dtype" by @sgugger in #23308

  • Remove LanguageIdentificationTool in __init__.py as we don't have it yet by @ydshieh in #23326

  • Fix docker image (caused by tensorflow_text) by @ydshieh in #23321

  • Compute the mask in-place, with less memory reads, and on CUDA on XLNetLMHeadModel by @lezcano in #23332

  • Only add files with modification outside doc blocks by @ydshieh in #23327

  • [docs] Fix Agents and Tools docstring by @stevhliu in #23313

  • OR am I crazy? by @hwuebben in #23295

  • Handle padding warning in generation when using inputs_embeds by @zrthxn in #23131

  • replaced assert with raise ValueError for t5, switch_transformers, pix2struct, mt5, longt5, gptsan_japanese. by @susnato in #23273

  • Use cu118 with cudnn >= 8.6 in docker file by @ydshieh in #23339

  • Removing one of the twice defined position_embeddings in LongFormer by @GregorySenay in #23343

  • Fix issue introduced in PR #23163 by @ydshieh in #23363

  • Typo suggestion by @richardachen in #23360

  • Fix some is_xxx_available by @ydshieh in #23365

  • Fix BigBirdForMaskedLM doctest by @ydshieh in #23369

  • Fix OwlViTForObjectDetection.image_guided_detection doc example by @ydshieh in #23370

  • Revert "Only add files with modification outside doc blocks" by @ydshieh in #23371

  • [Bugfix] OPTDecoderLayer does not return attentions when gradient_checkpointing and training is enabled. by @gmlwns2000 in #23367

  • Skip failing AlignModelTest::test_multi_gpu_data_parallel_forward by @ydshieh in #23374

  • Fix test typos - audio feature extractors by @LWprogramming in #23310

  • Added type hints for Graphormer pytorch version by @dewasahu2003 in #23073

  • Replace NumPy Operations with JAX NumPy Equivalents for JIT Compilation Compatibility by @gojiteji in #23356

  • Use mkstemp to replace deprecated mktemp by @ready-research in #23372

  • Fix RwkvModel by @ydshieh in #23392

  • Update test_batched_inference_image_captioning_conditioned by @ydshieh in #23391

  • OPT/BioGPT: Improved attention mask shape exception by @gante in #23270

  • Fix chat prompt in HFAgent by @IvanSedykh in #23335

  • 🌐 [i18n-KO] Translated asr.mdx to Korean by @sim-so in #23106

  • Minor fixes in transformers-tools by @Wauplin in #23364

  • [Pix2Struct] Add conditional generation on docstring example by @younesbelkada in #23399

  • Generate: faster can_generate check on TF and Flax by @gante in #23398

  • [AutoModel] fix torch_dtype=auto in from_pretrained by @stas00 in #23379

  • Docs: add link to assisted generation blog post by @gante in #23397

  • Build with non Python files by @sgugger in #23405

  • Generate: add test to check KV format by @gante in #23403

  • Replace appends with list comprehension. by @ttsugriy in #23359

  • Fix smdistributed check by @sgugger in #23414

  • Why crash the whole run when HFHub gives a 50x error? by @ropoctl in #23320

  • Run doctest (in PRs) only when some doc example(s) are modified by @ydshieh in #23387

  • Update ConvNextV2ModelIntegrationTest::test_inference_image_classification_head by @ydshieh in #23402

  • Fix a typo in HfAgent docstring. by @ttsugriy in #23420

  • Use dict.items to avoid unnecessary lookups. by @ttsugriy in #23415

  • Update 3 docker files to use cu118 by @ydshieh in #23406

  • [SAM] fix sam slow test by @younesbelkada in #23376

  • Return early once stop token is found. by @ttsugriy in #23421

  • [Reland] search model buffers for dtype as the last resort by @cyyever in #23319

  • Add Missing tokenization test [electra] by @IMvision12 in #22997

  • Small fixes and link in the README by @LysandreJik in #23428

  • TF: embeddings out of bounds check factored into function by @gante in #23427

  • Update Bigbird Pegasus tests by @ydshieh in #23431

  • Encoder-Decoder: add informative exception when the decoder is not compatible by @gante in #23426

  • Remove hardcoded prints in Trainer by @hugoabonizio in #23432

  • Fix device issue in SwiftFormerModelIntegrationTest::test_inference_image_classification_head by @ydshieh in #23435

  • Generate: skip left-padding tests on old models by @gante in #23437

  • remove unnecessary print in gpt neox sequence classifier by @cfhammill in #23433

  • 🌐 [i18n-KO] Translated tasks/zero_shot_object_detection.mdx to Korean by @HanNayeoniee in #23430

  • Fix (skip) a pipeline test for RwkvModel by @ydshieh in #23444

  • Fix DecisionTransformerConfig doctring by @joaoareis in #23450

  • TF: GPT2 with native embedding layers by @gante in #23436

  • Make RwkvModel accept attention_mask but discard it internally by @ydshieh in #23442

  • Less flaky test_assisted_decoding_matches_greedy_search by @ydshieh in #23451

  • Update tiny models and pipeline tests by @ydshieh in #23446

  • Properly guard PyTorch stuff by @sgugger in #23452

  • Add an option to log result from the Agent by @sgugger in #23454

  • Clean up CUDA kernels by @sgugger in #23455

  • fix bug in group_texts function, that was inserting short batches by @BodaSadalla98 in #23429

  • feat: Whisper prompting by @connor-henderson in #22496

  • README: Fix affiliation for MEGA by @julien-c in #23394

  • Remove .data usages in optimizations.py by @alanwaketan in #23417

  • TF port of the Segment Anything Model (SAM) by @Rocketknight1 in #22970

  • [RWKV] Rwkv fix for 8bit inference by @younesbelkada in #23468

  • Use config to set name and description if not present by @sgugger in #23473

  • Fix transformers' DeepSpeed CI job by @ydshieh in #23463

  • Fix PretrainedConfig min_length docstring by @joaoareis in #23471

  • Fix: Change tensors to integers for torch.dynamo and torch.compile compatibility by @loevlie in #23475

  • [Blip] Remove redundant shift right by @younesbelkada in #23153

  • Fix DeepSpeed stuff in the nightly CI by @ydshieh in #23478

  • Fix confusing transformers installation in CI by @ydshieh in #23465

  • Fix tests/repo_utils/test_get_test_info.py by @ydshieh in #23485

  • Debug example code for MegaForCausalLM by @Tylersuard in #23382

  • Remove erroneous img closing tag by @xenova in #23646

  • Fix tensor device while attention_mask is not None by @zspo in #23538

  • Fix accelerate logger bug by @younesbelkada in #23650

  • Bugfix: LLaMA layer norm incorrectly changes input type and consumers lots of memory by @TimDettmers in #23535

  • Fix wav2vec2 is_batched check to include 2-D numpy arrays by @LWprogramming in #23223

  • changing the requirements to a cpu torch version that works by @sshahrokhi in #23483

  • Fix SAM tests and use smaller checkpoints by @Rocketknight1 in #23656

  • Update workflow files by @ydshieh in #23658

  • small fix to remove unused eos in processor when it's not used. by @Narsil in #23408

  • Fix typo in a parameter name for open llama model by @aaalexlit in #23637

  • Fix PyTorch SAM tests by @ydshieh in #23682

  • 🌐 [i18n-KO] Translated tasks/monocular_depth_estimation.mdx to Korean by @HanNayeoniee in #23621

  • Fix a BridgeTower test by @ydshieh in #23694

  • [SAM] Fixes pipeline and adds a dummy pipeline test by @younesbelkada in #23684

  • TF version compatibility fixes by @Rocketknight1 in #23663

  • [Blip] Fix blip doctest by @younesbelkada in #23698

  • is_batched fix for remaining 2-D numpy arrays by @LWprogramming in #23309

  • Skip TFCvtModelTest::test_keras_fit_mixed_precision for now by @ydshieh in #23699

  • fix: load_best_model_at_end error when load_in_8bit is True by @dkqkxx in #23443

  • Fix some docs what layerdrop does by @zspo in #23691

  • add GPTJ/bloom/llama/opt into model list and enhance the jit support by @sywangyi in #23291

  • Paged Optimizer + Lion Optimizer for Trainer by @TimDettmers in #23217

  • Export to ONNX doc refocused on using optimum, added tflite by @MKhalusova in #23434

  • fix: use bool instead of uint8/byte in Deberta/DebertaV2/SEW-D to make it compatible with TensorRT by @uchuhimo in #23683

  • fix gptj could not jit.trace in GPU by @sywangyi in #23317

  • Better TF docstring types by @Rocketknight1 in #23477

  • Minor awesome-transformers.md fixes by @pagarsky in #23453

  • TF SAM memory reduction by @Rocketknight1 in #23732

  • fix: delete duplicate sentences in document_question_answering.mdx by @jungnerd in #23735

  • fix: Whisper generate, move text_prompt_ids trim up for max_new_tokens calculation by @connor-henderson in #23724

  • Overhaul TF serving signatures + dummy inputs by @Rocketknight1 in #23234

  • [Whisper] Reduce batch size in tests by @sanchit-gandhi in #23736

  • Fix the regex in get_imports to support multiline try blocks and excepts with specific exception types by @dakinggg in #23725

  • Remove the last few TF serving sigs by @Rocketknight1 in #23738

  • Fix pip install --upgrade accelerate command in modeling_utils.py by @tloen in #23747

  • Fix psuh_to_hub in Trainer when nothing needs pushing by @sgugger in #23751

  • Revamp test selection for the example tests by @sgugger in #23737

  • [LongFormer] code nits, removed unused parameters by @ArthurZucker in #23749

  • Fix is_ninja_available() by @niltok in #23752

  • [Nllb-Moe] Fix nllb moe accelerate issue by @younesbelkada in #23758

  • [OPT] Doc nit, using fast is fine by @ArthurZucker in #23789

  • Fix RWKV backward on GPU by @sgugger in #23774

  • Update trainer.mdx class_weights example by @amitportnoy in #23787

  • no_cuda does not take effect in non distributed environment by @sywangyi in #23795

  • Fix no such file or directory error by @RissyRan in #23783

  • Enable code-specific revision for code on the Hub by @sgugger in #23799

  • add type hint in pipeline model argument by @y3sar in #23740

  • TF SAM shape flexibility fixes by @Rocketknight1 in #23842

  • fix Whisper tests on GPU by @hollance in #23753

  • 🌐 [i18n-KO] Translated fast_tokenizers.mdx to Korean by @KIHOON71 in #22956

  • [i18n-KO] Translated video_classification.mdx to Korean by @KIHOON71 in #23026

  • 🌐 [i18n-KO] Translated troubleshooting.mdx to Korean by @0525hhgus in #23166

  • Adds a FlyteCallback by @peridotml in #23759

  • Update collating_graphormer.py by @clefourrier in #23862

  • [LlamaTokenizerFast] nit update post_processor on the fly by @ArthurZucker in #23855

  • #23388 Issue: Update RoBERTa configuration by @vijethmoudgalya in #23863

  • [from_pretrained] imporve the error message when _no_split_modules is not defined by @ArthurZucker in #23861

  • Editing issue with pickle def with lambda function by @Natyren in #23869

  • Adds AutoProcessor.from_pretrained support for MCTCTProcessor by @Ubadub in #23856

  • 🌐 [i18n-KO] Translated pad_truncation.mdx to Korean by @sim-so in #23823

  • Fix bug leading to missing token in GPTSanJapaneseTokenizer by @passaglia in #23883

  • Fix last instances of kbit -> quantized by @sgugger in #23797

  • fix(configuration_llama): add keys_to_ignore_at_inference to LlamaConfig by @calico-1226 in #23891

  • Fix Trainer when model is loaded on a different GPU by @sgugger in #23792

  • Support shared tensors by @thomasw21 in #23871

  • ensure banned_mask and indices in same device by @cauyxy in #23901

  • Unpin numba by @sanchit-gandhi in #23162

  • [bnb] add warning when no linear by @younesbelkada in #23894

  • fix: Replace add_prefix_space in get_prompt_ids with manual space for FastTokenizer compatibility by @connor-henderson in #23796

  • [RWKV] Fix RWKV 4bit by @younesbelkada in #23910

  • add conditional statement for auxiliary loss calculation by @harisankar95 in #23899

  • Raise error if loss can't be calculated - ViT MIM by @amyeroberts in #23872

  • Empty circleci config by @sgugger in #23913

  • Bug fix - flip_channel_order for channels first images by @amyeroberts in #23701

  • Re-enable squad test by @sgugger in #23912

  • Update the update metadata job to use upload_folder by @sgugger in #23917

  • [PushToHub] Make it possible to upload folders by @NielsRogge in #23920

  • Skip device placement for past key values in decoder models by @sgugger in #23919

  • [Flax Whisper] Update decode docstring by @sanchit-gandhi in #23908

  • Effectively allow encoder_outputs input to be a tuple in pix2struct by @fxmarty in #23932

  • Fix doc string nits by @sheonhan in #23929

  • Pin rhoknp by @sgugger in #23937

  • rename DocumentQuestionAnsweringTool parameter input to match docstring by @Adam-D-Lewis in #23939

  • Update stale.yml to use HuggingFaceBot by @LysandreJik in #23941

  • Make TF ESM inv_freq non-trainable like PyTorch by @Rocketknight1 in #23940

  • Revert "Update stale.yml to use HuggingFaceBot" by @LysandreJik in #23943

  • #23675 Registering Malay language by @soongbren in #23689

  • Modify device_map behavior when loading a model using from_pretrained by @SunMarc in #23922

  • use _make_causal_mask in clip/vit models by @kashif in #23942

  • Fix ReduceLROnPlateau object has no attribute 'get_last_lr' by @wasupandceacar in #23944

  • [MMS] Scaling Speech Technology to 1,000+ Languages | Add attention adapter to Wav2Vec2 by @patrickvonplaten in #23813

  • add new mms functions to doc by @patrickvonplaten in #23954

  • 🌐 [i18n-KO] Translated object_detection.mdx to Korean by @KIHOON71 in #23164

  • Trainer: fixed evaluate raising KeyError for ReduceLROnPlateau by @claudius-kienle in #23952

  • [Whisper Tokenizer] Skip special tokens when decoding with timestamps by @sanchit-gandhi in #23945

  • Add an option to reduce compile() console spam by @Rocketknight1 in #23938

  • Added time-series blogs to the models by @elisim in #23857

  • Fix typo in doc comment of BitsAndBytesConfig by @ledyba in #23978

  • Skip test_multi_gpu_data_parallel_forward for MobileViTV2ModelTest by @ydshieh in #24017

  • Update README.md by @ydshieh in #24022

  • Auto tokenizer registration by @Bearnardd in #23965

  • expose safe_serialization argument in the pipeline API by @yessenzhar in #23775

  • Pix2Struct: fix wrong broadcast axis of attention mask in visual encoder by @affjljoo3581 in #23976

  • TensorBoard callback no longer adds hparams by @bri25yu in #23999

  • 🌐 [i18n-KO] Translated tasks_explained.mdx to Korean by @0525hhgus in #23844

  • Fix MobileViTV2 checkpoint name by @ydshieh in #24018

  • Pin deepspeed to 0.9.2 for now by @ydshieh in #24024

  • 🌐 [i18n-KO] Translated language-modeling.mdx by @wonhyeongseo in #23969

  • 🌐 [i18n-KO] Translated bertology.mdx to Korean by @wonhyeongseo in #23968

  • Add check for tied parameters by @SunMarc in #24029

  • Fixing single candidate_label return. by @Narsil in #24023

  • Use TruncatedNormal from Keras initializers by @hvaara in #24036

  • Prevent ZeroDivisionError on trainer.evaluate if model and dataset are tiny by @tomaarsen in #24049

  • Modification of one text example file should trigger said test by @sgugger in #24051

  • Tiny fix for check_self_hosted_runner.py by @ydshieh in #24052

  • Reduce memory usage in TF building by @Rocketknight1 in #24046

  • Move TF building to an actual build() method by @Rocketknight1 in #23760

  • Use new parametrization based weight norm if available by @ezyang in #24030

  • bring back filtered_test_list_cross_tests.txt by @ydshieh in #24055

  • Fix device placement for model-parallelism in generate for encoder/de… by @sgugger in #24025

  • Remote code improvements by @sgugger in #23959

  • Generate: increase left-padding test atol by @gante in #23448

  • [Wav2Vec2] Fix torch srcipt by @patrickvonplaten in #24062

  • Add support for non-rust implemented tokenization for __getitem__ method. by @jacklanda in #24039

  • Support PEFT models when saving the model using trainer by @younesbelkada in #24073

  • [Hub] Add safe_serialization in push_to_hub by @younesbelkada in #24074

  • Fix is_optimum_neuron_available by @michaelbenayoun in #23961

  • [bnb] Fix bnb skip modules by @younesbelkada in #24043

  • Be nice to TF by @ydshieh in #24076

  • Make the TF dummies even smaller by @Rocketknight1 in #24071

  • [doc build] Use secrets by @mishig25 in #24079

  • Fix expected value in tests of the test fetcher by @sgugger in #24077

  • Update delete_doc_comment_trigger.yml by @mishig25 in #24084

  • Do not prepare lr scheduler as it as the right number of steps by @sgugger in #24088

  • Fix a tiny typo in WhisperForConditionalGeneration::generate docstring by @sadra-barikbin in #24045

  • [Trainer] Correct behavior of _load_best_model for PEFT models by @younesbelkada in #24103

Significant community contributions

The following contributors have made significant changes to the library over the last release:

  • @shehanmunasinghe
  • @TimDettmers
    • Bugfix: LLaMA layer norm incorrectly changes input type and consumers lots of memory (#23535)
    • 4-bit QLoRA via bitsandbytes (4-bit base model + LoRA) (#23479)
    • Paged Optimizer + Lion Optimizer for Trainer (#23217)
  • @elisim
    • [Time-Series] Autoformer model (#21891)
    • Added time-series blogs to the models (#23857)
  • @KIHOON71
    • 🌐 [i18n-KO] Translated fast_tokenizers.mdx to Korean (#22956)
    • [i18n-KO] Translated video_classification.mdx to Korean (#23026)
    • 🌐 [i18n-KO] Translated object_detection.mdx to Korean (#23164)
  • @D-Roberts
    • Add TensorFlow implementation of EfficientFormer (#22620)
  • @soongbren
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