Bump the pip group across 26 directories with 4 updates

[dependabot]

Bumps the pip group with 4 updates in the /.aitk/requirements directory: diffusers, onnx, torch and transformers.
Bumps the pip group with 1 update in the /HuggingFaceTB-SmolLM3-3B/baseline directory: transformers.
Bumps the pip group with 1 update in the /HuggingFaceTB-SmolLM3-3B/cpu directory: transformers.
Bumps the pip group with 1 update in the /HuggingFaceTB-SmolLM3-3B/cuda directory: transformers.
Bumps the pip group with 1 update in the /HuggingFaceTB-SmolLM3-3B/webgpu directory: transformers.
Bumps the pip group with 1 update in the /OpenGVLab-VideoChat-Flash-Qwen2_5-7B_InternVideo2-1B/builtin directory: transformers.
Bumps the pip group with 1 update in the /Qwen-Qwen2.5-0.5B-Instruct/QNN directory: transformers.
Bumps the pip group with 1 update in the /Qwen-Qwen2.5-Coder-0.5B-Instruct/QNN directory: transformers.
Bumps the pip group with 1 update in the /Qwen-Qwen2.5-Coder-1.5B-Instruct/QNN directory: transformers.
Bumps the pip group with 1 update in the /Qwen-Qwen2.5-Coder-7B-Instruct/QNN directory: transformers.
Bumps the pip group with 1 update in the /Qwen-Qwen3-Embedding-8B/cpu directory: transformers.
Bumps the pip group with 1 update in the /Qwen-Qwen3-Embedding-8B/cuda directory: transformers.
Bumps the pip group with 1 update in the /Qwen-Qwen3-Embedding-8B/webgpu directory: transformers.
Bumps the pip group with 1 update in the /allenai-Olmo-3-7B-Instruct/baseline directory: transformers.
Bumps the pip group with 1 update in the /allenai-Olmo-3-7B-Instruct/cpu directory: transformers.
Bumps the pip group with 1 update in the /allenai-Olmo-3-7B-Instruct/cuda directory: transformers.
Bumps the pip group with 1 update in the /allenai-Olmo-3-7B-Instruct/webgpu directory: transformers.
Bumps the pip group with 1 update in the /meta-llama-Llama-3.1-8B-Instruct/QAIRT directory: transformers.
Bumps the pip group with 2 updates in the /mistralai-Mistral-7B-Instruct-v0.1/VitisAI directory: onnx and transformers.
Bumps the pip group with 2 updates in the /mistralai-Mistral-7B-v0.3/VitisAI directory: onnx and transformers.
Bumps the pip group with 1 update in the /nvidia-Mistral-NeMo-12B-Instruct/baseline directory: transformers.
Bumps the pip group with 1 update in the /nvidia-Mistral-NeMo-12B-Instruct/cpu directory: transformers.
Bumps the pip group with 1 update in the /nvidia-Mistral-NeMo-12B-Instruct/cuda directory: transformers.
Bumps the pip group with 1 update in the /nvidia-Mistral-NeMo-12B-Instruct/webgpu directory: transformers.
Bumps the pip group with 2 updates in the /openai-whisper-large-v3-turbo/cuda directory: torch and transformers.
Bumps the pip group with 4 updates in the /sd-legacy-stable-diffusion-v1-5/VitisAI directory: diffusers, onnx, torch and transformers.

Updates diffusers from 0.35.0 to 0.38.0

Release notes

Sourced from diffusers's releases.

Diffusers 0.38.0: New image and audio pipelines, Core library improvements, and more

New Pipelines

LLaDA2

LLaDA2 is a family of discrete diffusion language models that generate text through block-wise iterative refinement. Instead of autoregressive token-by-token generation, LLaDA2 starts with a fully masked sequence and progressively unmasks tokens by confidence over multiple refinement steps.

• PR: huggingface/diffusers#13226
• Docs: https://huggingface.co/docs/diffusers/main/api/pipelines/llada2

Nucleus-MoE

NucleusMoE-Image is a 2B active 17B parameter model trained with efficiency at its core. Our novel architecture highlights the scalability of a sparse MoE architecture for Image generation.

• PR: huggingface/diffusers#13317
• Docs: https://huggingface.co/docs/diffusers/main/api/pipelines/nucleusmoe_image

Thanks to @​sippycoder for the contribution.

Ernie-Image

ERNIE-Image is a powerful and highly efficient image generation model with 8B parameters.

• PR: huggingface/diffusers#13432
• Docs: https://huggingface.co/docs/diffusers/main/api/pipelines/ernie_image

Thanks to @​HsiaWinter for the contribution.

LongCat-AudioDiT

LongCat-AudioDiT is a text-to-audio diffusion model from Meituan LongCat.

• PR: huggingface/diffusers#13483
• Docs: https://huggingface.co/docs/diffusers/main/api/pipelines/longcat_audio_dit

Thanks to @​RuixiangMa for the contribution.

Ace-Step 1.5

ACE-Step 1.5 generates variable-length stereo audio at 48 kHz (10 seconds to 10 minutes) from text prompts and optional lyrics. The full system pairs a Language Model planner with a Diffusion Transformer (DiT) synthesizer; this pipeline wraps the DiT half of that stack, and consists of three components: an AutoencoderOobleck VAE that compresses waveforms into 25 Hz stereo latents, a Qwen3-based text encoder for prompt and lyric conditioning, and an AceStepTransformer1DModel DiT that operates in the VAE latent space using flow matching.

• PR: huggingface/diffusers#13095
• Docs: https://huggingface.co/docs/diffusers/main/api/pipelines/ace_step

Thanks to @ChuxiJ for the contribution.

Flux.2 Small Decoder

Make your Flux.2 decoding faster with this new small decoder model from the Black Forest Labs. You can check it out here. It was contributed by @​huemin-art in this PR.

... (truncated)

Commits

• 275869d Release: v0.38.0-release
• 42a46e4 Fix missing latents_bn_std dtype cast in VAE normalization (#13299)
• 1a8a17b Add ACE-Step pipeline for text-to-music generation (#13095)
• 303c1d8 [Ernie-Image] Add lora support (#13575)
• 716f246 Fix UniPC scheduler device mismatch when using offloading (#13489)
• a5bc046 NucleusMoE docs (#13661)
• 4744648 [ci] use tokenizers stable installtion in CI. (#13562)
• 50cb2db feat: support ring attention with arbitrary KV sequence lengths (#13545)
• 0fff459 Fix ErnieImagePipeline pre-computed prompt_embeds + num_images_per_prompt sha...
• 2173c55 [docs] fix typo in AutoencoderOobleck docs (#13642) (#13645)
• Additional commits viewable in compare view

Updates onnx from 1.17.0 to 1.21.0

Release notes

Sourced from onnx's releases.

v1.21.0

ONNX v1.21.0 is now available with exciting new features! We would like to thank everyone who contributed to this release! Please visit onnx.ai to learn more about ONNX and associated projects.

What's Changed

Breaking Changes and Deprecations

• Remove defunct model hub integration by @​andife in onnx/onnx#7678

Spec and Operator

• Revert opset 25 version bump by @​titaiwangms in onnx/onnx#7441
• Add 2 bit support to onnx by @​vraspar in onnx/onnx#7446
• Bump opset version to 26 by @​titaiwangms in onnx/onnx#7469
• Remove enforcement to node determinism attribute by @​titaiwangms in onnx/onnx#7473
• Export functions by @​cyyever in onnx/onnx#7505
• [Reland] Cumulative Product Operator by @​titaiwangms in onnx/onnx#7400
• Fix Div integer semantics to use trunc division by @​MagellaX in onnx/onnx#7585
• Clarify DFT behavior when inverse=True and onesided=True (irfft) by @​simonbyrne in onnx/onnx#7574
• Specify 0/0 case in LpNormalization by @​titaiwangms in onnx/onnx#7618
• Clarify NonMaxSuppression IoU threshold uses strict comparison by @​Copilot in onnx/onnx#7619
• Relax model domain requirement from MUST to SHOULD by @​Copilot in onnx/onnx#7668
• Add BitCast operator for bitwise type reinterpretation by @​Copilot in onnx/onnx#7527

Reference Implementation

• Fix CenterCropPad: compare target shape with dimension, not axis index by @​Copilot in onnx/onnx#7522
• Vectorize sigmoid op implementation by @​justinchuby in onnx/onnx#7556
• Fixing verbose logging error at verbose=3 for reference_evaluator by @​rothej in onnx/onnx#7597
• Clean up reference evaluator tests by @​VedantMadane in onnx/onnx#7684

Utilities and Tools

• Add version check for test_executable_permission_check by @​andife in onnx/onnx#7511
• Fix index out of bounds in version converter adapters by @​rothej in onnx/onnx#7493
• Fix default attribute values in shape inference by @​matteosal in onnx/onnx#7602
• Fix Softmax-family shape inference for scalar inputs by @​MagellaX in onnx/onnx#7625
• Fix/merge models value info by @​MagellaX in onnx/onnx#7608
• Add version converter adapters for opset 15, 16, 17, 18 by @​alexkvitkevich in onnx/onnx#7677
• shape_inference: Validate expected size of scalar tensor in ParseData by @​skottmckay in onnx/onnx#7675

Build, CI and Tests

• Force labels in PRs by @​titaiwangms in onnx/onnx#7442
• Fix reuse by @​andife in onnx/onnx#7463
• Change precedence from 'aggregate' to 'override' for generating scripts by @​andife in onnx/onnx#7458
• a) 3.14-dev -> 3.14, b) reduce template injection thread by @​andife in onnx/onnx#7461
• Export register functions by @​cyyever in onnx/onnx#7496
• Fix Python executable detection in virtual environments by @​aoguntayo in onnx/onnx#7485
• Merged Release Workflows for Windows by @​Raghul-M in onnx/onnx#7509
• Bump nanobind to 2.10.2 by @​cyyever in onnx/onnx#7479
• Fix freebsd build by @​cyyever in onnx/onnx#7518
• Revert ONNX CMake changes by @​cyyever in onnx/onnx#7515
• Export functions used in PyTorch by @​cyyever in onnx/onnx#7524
• Export protobuf symbols by @​cyyever in onnx/onnx#7525
• Fix CMAKE_ARGS parsing for windows compatibility by @​hmaarrfk in onnx/onnx#7532
• Replace deprecated github action "test-results-action" by @​andife in onnx/onnx#7552
• Wheels for python 3.14t by @​andife in onnx/onnx#7558
• Clarify permissions comment and update dependencies install by @​andife in onnx/onnx#7577

... (truncated)

Commits

• be2b5fd Update VERSION_NUMBER to final release version (#7772)
• c751ddb Update VERSION_NUMBER to rc4 (#7759)
• 866038e [rel-1.21.0] Cherry-pick bug and security fixes for RC4 (#7737, #7751) (#7758)
• e6c12c5 update version to rc3 (#7743)
• 33afebf Cherry pick commit (#7740)
• a51ac07 update release to rc2 (#7732)
• 089fcda fix windows build ; upload (#7727)
• fbbe45b Cherry pick commits into the release branch (#7718)
• 624108e update release branch version to 1.21.0rc1 (#7714)
• b65e6e1 [Cherry-Pick] Merge commits from main for security fixes (#7688)
• Additional commits viewable in compare view

Updates torch from 2.6.0 to 2.7.1+cu128

Updates transformers from 4.51.3 to 5.0.0rc3

Release notes

Sourced from transformers's releases.

Release candidate v5.0.0rc3

New models:

• [GLM-4.7] GLM-Lite Supoort by @​zRzRzRzRzRzRzR in huggingface/transformers#43031
• [GLM-Image] AR Model Support for GLM-Image by @​zRzRzRzRzRzRzR in huggingface/transformers#43100
• Add LWDetr model by @​sbucaille in huggingface/transformers#40991
• Add LightOnOCR model implementation by @​baptiste-aubertin in huggingface/transformers#41621

What's Changed

We are getting closer and closer to the official release! This RC is focused on removing more of the deprecated stuff, fixing some minors issues, doc updates.

• Update Japanese README to match English version by @​lilin-1 in huggingface/transformers#43069
• [docs] Deploying by @​stevhliu in huggingface/transformers#42263
• [docs] inference engines by @​stevhliu in huggingface/transformers#42932
• Fix typos: Remove duplicate duplicate words words by @​efeecllk in huggingface/transformers#43040
• [style] Rework ruff rules and update all files by @​Cyrilvallez in huggingface/transformers#43144
• [CB] Minor fix in kwargs by @​remi-or in huggingface/transformers#43147
• [Bug] qwen2_5_omni: cap generation length to be less than the max_position_embedding in DiT by @​sniper35 in huggingface/transformers#43068
• Fix some deprecated practices in torch 2.9 by @​Cyrilvallez in huggingface/transformers#43167
• Fix Fuyu processor width dimension bug in _get_num_multimodal_tokens by @​Abhinavexists in huggingface/transformers#43137
• Inherit from PreTrainedTokenizerBase by @​juliendenize in huggingface/transformers#43143
• Generation config boolean defaults by @​zucchini-nlp in huggingface/transformers#43000
• Fix failing BartModelIntegrationTest by @​Sai-Suraj-27 in huggingface/transformers#43160
• fix failure of llava/pixtral by @​sywangyi in huggingface/transformers#42985
• GemmaTokenizer: remove redundant whitespace pre-tokenizer by @​vaibhav-research in huggingface/transformers#43106
• Support auto_doctring in Processors by @​yonigozlan in huggingface/transformers#42101
• Fix failing BitModelIntegrationTest by @​Sai-Suraj-27 in huggingface/transformers#43164
• [Fp8] Fix experts by @​vasqu in huggingface/transformers#43154
• Docs: improve wording for documentation build instructions by @​Sailnagale in huggingface/transformers#43007
• [makefile] Cleanup and improve the rules by @​Cyrilvallez in huggingface/transformers#43171
• Some new models added stuff that was already removed by @​Cyrilvallez in huggingface/transformers#43179
• Fixes and compilation warning in torchao docs by @​merveenoyan in huggingface/transformers#42909
• [cache] Remove all deprecated classes by @​Cyrilvallez in huggingface/transformers#43168
• Bump huggingface_hub minimal version by @​Wauplin in huggingface/transformers#43188
• Rework check_config_attributes.py by @​Cyrilvallez in huggingface/transformers#43191
• Fix generation config validation by @​zucchini-nlp in huggingface/transformers#43175
• [style] Use 'x | y' syntax for processors as well by @​Wauplin in huggingface/transformers#43189
• Remove deprecated objects by @​Cyrilvallez in huggingface/transformers#43170
• fix chunked prefill implementation issue-43082 by @​marcndo in huggingface/transformers#43132
• Reduce add_dates verbosity by @​yonigozlan in huggingface/transformers#43184
• Add support for MiniMax-M2 by @​rogeryoungh in huggingface/transformers#42028
• Fix failing salesforce-ctrl, xlm & gpt-neo model generation tests by @​Sai-Suraj-27 in huggingface/transformers#43180
• Less verbose library helpers by @​Cyrilvallez in huggingface/transformers#43197
• run all test files on CircleCI by @​ydshieh in huggingface/transformers#43146
• Clamp temperature to >=1.0 for Dia generation by @​Haseebasif7 in huggingface/transformers#43029
• Fix spelling typos in comments and code by @​raimbekovm in huggingface/transformers#43046
• [docs] llama.cpp by @​stevhliu in huggingface/transformers#43185

... (truncated)

Commits

• cb5079f v5.0.0rc3
• d1808f2 [ci] Fixing some failing tests for important models (#43231)
• 3d27645 Add LightOnOCR model implementation (#41621)
• 77146cc fix crash in when running FSDP2+TP (#43226)
• 61317f5 [CB] Ensure parallel decoding test passes using FA (#43277)
• 1efe1a6 Fix failing PegasusX, Mvp & LED model integration tests (#43245)
• e8ae373 [consistency] Ensure models are added to the _toctree.yml (#43264)
• c85be98 [docs] tensorrt-llm (#43176)
• 38022fd [style] Fix init isort and align makefile and CI (#43260)
• e977446 Fix failing Hiera, SwiftFormer & LED Model integration tests (#43225)
• Additional commits viewable in compare view

Updates transformers from 4.57.1 to 5.0.0rc3

Release notes

Sourced from transformers's releases.

Release candidate v5.0.0rc3

New models:

• [GLM-4.7] GLM-Lite Supoort by @​zRzRzRzRzRzRzR in huggingface/transformers#43031
• [GLM-Image] AR Model Support for GLM-Image by @​zRzRzRzRzRzRzR in huggingface/transformers#43100
• Add LWDetr model by @​sbucaille in huggingface/transformers#40991
• Add LightOnOCR model implementation by @​baptiste-aubertin in huggingface/transformers#41621

What's Changed

We are getting closer and closer to the official release! This RC is focused on removing more of the deprecated stuff, fixing some minors issues, doc updates.

• Update Japanese README to match English version by @​lilin-1 in huggingface/transformers#43069
• [docs] Deploying by @​stevhliu in huggingface/transformers#42263
• [docs] inference engines by @​stevhliu in huggingface/transformers#42932
• Fix typos: Remove duplicate duplicate words words by @​efeecllk in huggingface/transformers#43040
• [style] Rework ruff rules and update all files by @​Cyrilvallez in huggingface/transformers#43144
• [CB] Minor fix in kwargs by @​remi-or in huggingface/transformers#43147
• [Bug] qwen2_5_omni: cap generation length to be less than the max_position_embedding in DiT by @​sniper35 in huggingface/transformers#43068
• Fix some deprecated practices in torch 2.9 by @​Cyrilvallez in huggingface/transformers#43167
• Fix Fuyu processor width dimension bug in _get_num_multimodal_tokens by @​Abhinavexists in huggingface/transformers#43137
• Inherit from PreTrainedTokenizerBase by @​juliendenize in huggingface/transformers#43143
• Generation config boolean defaults by @​zucchini-nlp in huggingface/transformers#43000
• Fix failing BartModelIntegrationTest by @​Sai-Suraj-27 in huggingface/transformers#43160
• fix failure of llava/pixtral by @​sywangyi in huggingface/transformers#42985
• GemmaTokenizer: remove redundant whitespace pre-tokenizer by @​vaibhav-research in huggingface/transformers#43106
• Support auto_doctring in Processors by @​yonigozlan in huggingface/transformers#42101
• Fix failing BitModelIntegrationTest by @​Sai-Suraj-27 in huggingface/transformers#43164
• [Fp8] Fix experts by @​vasqu in huggingface/transformers#43154
• Docs: improve wording for documentation build instructions by @​Sailnagale in huggingface/transformers#43007
• [makefile] Cleanup and improve the rules by @​Cyrilvallez in huggingface/transformers#43171
• Some new models added stuff that was already removed by @​Cyrilvallez in huggingface/transformers#43179
• Fixes and compilation warning in torchao docs by @​merveenoyan in huggingface/transformers#42909
• [cache] Remove all deprecated classes by @​Cyrilvallez in huggingface/transformers#43168
• Bump huggingface_hub minimal version by @​Wauplin in huggingface/transformers#43188
• Rework check_config_attributes.py by @​Cyrilvallez in huggingface/transformers#43191
• Fix generation config validation by @​zucchini-nlp in huggingface/transformers#43175
• [style] Use 'x | y' syntax for processors as well by @​Wauplin in huggingface/transformers#43189
• Remove deprecated objects by @​Cyrilvallez in huggingface/transformers#43170
• fix chunked prefill implementation issue-43082 by @​marcndo in huggingface/transformers#43132
• Reduce add_dates verbosity by @​yonigozlan in huggingface/transformers#43184
• Add support for MiniMax-M2 by @​rogeryoungh in huggingface/transformers#42028
• Fix failing salesforce-ctrl, xlm & gpt-neo model generation tests by @​Sai-Suraj-27 in huggingface/transformers#43180
• Less verbose library helpers by @​Cyrilvallez in huggingface/transformers#43197
• run all test files on CircleCI by @​ydshieh in huggingface/transformers#43146
• Clamp temperature to >=1.0 for Dia generation by @​Haseebasif7 in huggingface/transformers#43029
• Fix spelling typos in comments and code by @​raimbekovm in huggingface/transformers#43046
• [docs] llama.cpp by @​stevhliu in huggingface/transformers#43185

... (truncated)

Commits

• cb5079f v5.0.0rc3
• d1808f2 [ci] Fixing some failing tests for important models (#43231)
• 3d27645 Add LightOnOCR model implementation (#41621)
• 77146cc fix crash in when running FSDP2+TP (#43226)
• 61317f5 [CB] Ensure parallel decoding test passes using FA (#43277)
• 1efe1a6 Fix failing PegasusX, Mvp & LED model integration tests (#43245)
• e8ae373 [consistency] Ensure models are added to the _toctree.yml (#43264)
• c85be98 [docs] tensorrt-llm (#43176)
• 38022fd [style] Fix init isort and align makefile and CI (#43260)
• e977446 Fix failing Hiera, SwiftFormer & LED Model integration tests (#43225)
• Additional commits viewable in compare view

Updates transformers from 4.57.1 to 5.0.0rc3

Release notes

Sourced from transformers's releases.

Release candidate v5.0.0rc3

New models:

• [GLM-4.7] GLM-Lite Supoort by @​zRzRzRzRzRzRzR in huggingface/transformers#43031
• [GLM-Image] AR Model Support for GLM-Image by @​zRzRzRzRzRzRzR in huggingface/transformers#43100
• Add LWDetr model by @​sbucaille in huggingface/transformers#40991
• Add LightOnOCR model implementation by @​baptiste-aubertin in huggingface/transformers#41621

What's Changed

We are getting closer and closer to the official release! This RC is focused on removing more of the deprecated stuff, fixing some minors issues, doc updates.

• Update Japanese README to match English version by @​lilin-1 in huggingface/transformers#43069
• [docs] Deploying by @​stevhliu in huggingface/transformers#42263
• [docs] inference engines by @​stevhliu in huggingface/transformers#42932
• Fix typos: Remove duplicate duplicate words words by @​efeecllk in huggingface/transformers#43040
• [style] Rework ruff rules and update all files by @​Cyrilvallez in huggingface/transformers#43144
• [CB] Minor fix in kwargs by @​remi-or in huggingface/transformers#43147
• [Bug] qwen2_5_omni: cap generation length to be less than the max_position_embedding in DiT by @​sniper35 in huggingface/transformers#43068
• Fix some deprecated practices in torch 2.9 by @​Cyrilvallez in huggingface/transformers#43167
• Fix Fuyu processor width dimension bug in _get_num_multimodal_tokens by @​Abhinavexists in huggingface/transformers#43137
• Inherit from PreTrainedTokenizerBase by @​juliendenize in huggingface/transformers#43143
• Generation config boolean defaults by @​zucchini-nlp in huggingface/transformers#43000
• Fix failing BartModelIntegrationTest by @​Sai-Suraj-27 in huggingface/transformers#43160
• fix failure of llava/pixtral by @​sywangyi in huggingface/transformers#42985
• GemmaTokenizer: remove redundant whitespace pre-tokenizer by @​vaibhav-research in huggingface/transformers#43106
• Support auto_doctring in Processors by @​yonigozlan in huggingface/transformers#42101
• Fix failing BitModelIntegrationTest by @​Sai-Suraj-27 in huggingface/transformers#43164
• [Fp8] Fix experts by @​vasqu in huggingface/transformers#43154
• Docs: improve wording for documentation build instructions by @​Sailnagale in huggingface/transformers#43007
• [makefile] Cleanup and improve the rules by @​Cyrilvallez in huggingface/transformers#43171
• Some new models added stuff that was already removed by @​Cyrilvallez in huggingface/transformers#43179
• Fixes and compilation warning in torchao docs by @​merveenoyan in huggingface/transformers#42909
• [cache] Remove all deprecated classes by @​Cyrilvallez in huggingface/transformers#43168
• Bump huggingface_hub minimal version by @​Wauplin in huggingface/transformers#43188
• Rework check_config_attributes.py by @​Cyrilvallez in huggingface/transformers#43191
• Fix generation config validation by @​zucchini-nlp in huggingface/transformers#43175
• [style] Use 'x | y' syntax for processors as well by @​Wauplin in huggingface/transformers#43189
• Remove deprecated objects by @​Cyrilvallez in huggingface/transformers#43170
• fix chunked prefill implementation issue-43082 by @​marcndo in huggingface/transformers#43132
• Reduce add_dates verbosity by @​yonigozlan in huggingface/transformers#43184
• Add support for MiniMax-M2 by @​rogeryoungh in huggingface/transformers#42028
• Fix failing salesforce-ctrl, xlm & gpt-neo model generation tests by @​Sai-Suraj-27 in huggingface/transformers#43180
• Less verbose library helpers by @​Cyrilvallez in huggingface/transformers#43197
• run all test files on CircleCI by @​ydshieh in huggingface/transformers#43146
• Clamp temperature to >=1.0 for Dia generation by @​Haseebasif7 in huggingface/transformers#43029
• Fix spelling typos in comments and code by @​raimbekovm in huggingface/transformers#43046
• [docs] llama.cpp by @​stevhliu in huggingface/transformers#43185

... (truncated)

Commits

• cb5079f v5.0.0rc3
• d1808f2 [ci] Fixing some failing tests for important models (#43231)
• 3d27645 Add LightOnOCR model implementation (#41621)
• 77146cc fix crash in when running FSDP2+TP (#43226)
• 61317f5 [CB] Ensure parallel decoding test passes using FA (#43277)
• 1efe1a6 Fix failing PegasusX, Mvp & LED model integration tests (#43245)
• e8ae373 [consistency] Ensure models are added to the _toctree.yml (#43264)
• c85be98 [docs] tensorrt-llm (#43176)
• 38022fd [style] Fix init isort and align makefile and CI (#43260)
• e977446 Fix failing Hiera, SwiftFormer & LED Model integration tests (#43225)
• Additional commits viewable in compare view

Updates transformers from 4.57.1 to 5.0.0rc3

Release notes

Sourced from transformers's releases.

Release candidate v5.0.0rc3

New models:

• [GLM-4.7] GLM-Lite Supoort by @​zRzRzRzRzRzRzR in huggingface/transformers#43031
• [GLM-Image] AR Model Support for GLM-Image by @​zRzRzRzRzRzRzR in huggingface/transformers#43100
• Add LWDetr model by @​sbucaille in huggingface/transformers#40991
• Add LightOnOCR model implementation by @​baptiste-aubertin in huggingface/transformers#41621

What's Changed

We are getting closer and closer to the official release! This RC is focused on removing more of the deprecated stuff, fixing some minors issues, doc updates.

• Update Japanese README to match English version by @​lilin-1 in huggingface/transformers#43069
• [docs] Deploying by @​stevhliu in huggingface/transformers#42263
• [docs] inference engines by @​stevhliu in huggingface/transformers#42932
• Fix typos: Remove duplicate duplicate words words by @​efeecllk in huggingface/transformers#43040
• [style] Rework ruff rules and update all files by @​Cyrilvallez in huggingface/transformers#43144
• [CB] Minor fix in kwargs by @​remi-or in huggingface/transformers#43147
• [Bug] qwen2_5_omni: cap generation length to be less than the max_position_embedding in DiT by @​sniper35 in huggingface/transformers#43068
• Fix some deprecated practices in torch 2.9 by @​Cyrilvallez in huggingface/transformers#43167
• Fix Fuyu processor width dimension bug in _get_num_multimodal_tokens by @​Abhinavexists in huggingface/transformers#43137
• Inherit from PreTrainedTokenizerBase by @​juliendenize in huggingface/transformers#43143
• Generation config boolean defaults by

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