Update dependency transformers to v5

[red-hat-konflux]

ℹ️ Note

This PR body was truncated due to platform limits.

This PR contains the following updates:

Package	Change	Age	Confidence
transformers	==4.50.0 → ==5.6.2

---

Release Notes

huggingface/transformers (transformers)

v5.6.2: Patch release v5.6.2

Compare Source

Patch release v5.6.2

Qwen 3.5 and 3.6 MoE (text-only) were broken when using with FP8. It should now work again with this 🫡

• Fix configuration reading and error handling for kernels (#​45610) by @​hmellor

Full Changelog: huggingface/transformers@v5.6.1...v5.6.2

v5.6.1: Patch release v5.6.1

Compare Source

Patch release v5.6.1

Flash attention path was broken! Sorry everyone for this one 🤗

• Fix AttributeError on s_aux=None in flash_attention_forward (#​45589) by @​jamesbraza

v5.6.0

Compare Source

Release v5.6.0

New Model additions

OpenAI Privacy Filter

OpenAI Privacy Filter is a bidirectional token-classification model for personally identifiable information (PII) detection and masking in text. It is intended for high-throughput data sanitization workflows where teams need a model that they can run on-premises that is fast, context-aware, and tunable. The model labels an input sequence in a single forward pass, then decodes coherent spans with a constrained Viterbi procedure, predicting probability distributions over 8 privacy-related output categories for each input token.

Links: Documentation

• [Privacy Filter] Add model (#​45580) by @​vasqu in #​45580

QianfanOCR

Qianfan-OCR is a 4B-parameter end-to-end document intelligence model developed by Baidu that performs direct image-to-text conversion without traditional multi-stage OCR pipelines. It supports a broad range of prompt-driven tasks including structured document parsing, table extraction, chart understanding, document question answering, and key information extraction all within one unified model. The model features a unique "Layout-as-Thought" capability that generates structured layout representations before producing final outputs, making it particularly effective for complex documents with mixed element types.

Links: Documentation | Paper

• add Qianfan-OCR model definition (#​45280) by @​marvinzh in #​45280

SAM3-LiteText

SAM3-LiteText is a lightweight variant of SAM3 that replaces the heavy SAM3 text encoder (353M parameters) with a compact MobileCLIP-based text encoder optimized through knowledge distillation, while keeping the SAM3 ViT-H image encoder intact. This reduces text encoder parameters by up to 88% while maintaining segmentation performance comparable to the original model. The model enables efficient vision-language segmentation by addressing the redundancy found in text prompting for segmentation tasks.

Links: Documentation | Paper

• Add SAM3-LiteText (#​44320) by @​NielsRogge in #​44320

SLANet

SLANet and SLANet_plus are lightweight models designed for table structure recognition, focusing on accurately recognizing table structures in documents and natural scenes. The model improves accuracy and inference speed by adopting a CPU-friendly lightweight backbone network PP-LCNet, a high-low-level feature fusion module CSP-PAN, and a feature decoding module SLA Head that aligns structural and positional information. SLANet was developed by Baidu PaddlePaddle Vision Team as part of their table structure recognition solutions.

Links: Documentation

• [Model] Add SLANet Model Support (#​45532) by @​zhang-prog in #​45532

Breaking changes

The internal rotary_fn is no longer registered as a hidden kernel function, so any code referencing self.rotary_fn(...) within an Attention module will break and must be updated to call the function directly instead.

• 🚨 [Kernels] Fix kernel function registration (#​45420) by @​vasqu

Serve

The transformers serve command received several enhancements, including a new /v1/completions endpoint for legacy text completion, multimodal support for audio and video inputs, improved tool-calling via parse_response, proper forwarding of tool_calls/tool_call_id fields, a 400 error on model mismatch when the server is pinned to a specific model, and fixes for the response API. Documentation was also updated to cover new serving options such as --compile and --model-timeout.

• Add /v1/completions endpoint (OpenAI legacy completions API) to transformers serve (#​44558) by @​rain-1 in [#​44558]
• Updated the image cache for Paddle models according to the latest API (#​45562) by @​zhang-prog in [#​45562]
• Raise 400 on model mismatch when transformers serve is pinned (#​45443) by @​qgallouedec in [#​45443]
• [serve] Update tool call to switch to parse_response (#​45485) by @​SunMarc in [#​45485]
• Fix response api support (#​45463) by @​SunMarc in [#​45463]
• [serve] Forward tool_calls/tool_call_id in processor inputs (#​45418) by @​qgallouedec in [#​45418]
• refactor(qa): extend extras so ty can run on server modules (#​45456) by @​tarekziade in [#​45456]
• Multimodal serve support (#​45220) by @​SunMarc in [#​45220]
• [docs] transformers serve (#​45174) by @​stevhliu in [#​45174]

Vision

Several vision-related bug fixes were applied in this release, including correcting Qwen2.5-VL temporal RoPE scaling for still images, fixing missing/mismatched image processor backends for Emu3 and BLIP, resolving modular image processor class duplication, and preventing accelerate from incorrectly splitting vision encoders in PeVideo/PeAudioVideo models. Image loading performance was also improved by leveraging torchvision's native decode_image in the torchvision backend, yielding up to ~17% speedup over PIL-based loading.

• Revert "Fix: modular image processors (#​45492)" (#​45531) by @​tarekziade in [#​45531]
• Fix: modular image processors (#​45492) by @​zucchini-nlp in [#​45492]
• fix: prevent accelerate from splitting vision encoder by setting no… (#​43047) by @​ in [#​43047]
• Fix Qwen2.5-VL temporal RoPE scaling applied to still images (#​45330) by @​Kash6 in [#​45330]
• Use torchvision decode_image to load images in the torchvision backend (#​45195) by @​yonigozlan in [#​45195]
• Fix missing image processors backends (#​45165) by @​zucchini-nlp in [#​45165]

Parallelization

Fixed several bugs affecting distributed training, including silently wrong results or NaN loss with Expert Parallelism, NaN weights on non-rank-0 FSDP processes, and a resize failure in PP-DocLayoutV3; additionally added support for loading adapters with Tensor Parallelism, added MoE to the Gemma4 TP plan, and published documentation for TP training.

• Fix EP: RouterParallel shape, tp_plan property, grouped_mm sentinels (#​45473) by @​AmineDiro in [#​45473]
• Fix NaN weights on non-rank-0 FSDP processes (#​45050) by @​albertvillanova in [#​45050]
• Load adapter with TP (#​45155) by @​michaelbenayoun in [#​45155]
• [docs] tp training (#​44613) by @​stevhliu in [#​44613]
• Fix resize failure caused by zero-sized masks in PP-DocLayoutV3 (#​45281) by @​zhang-prog in [#​45281]
• Add MoE to Gemma4 TP plan (#​45219) by @​sywangyi in [#​45219]

Tokenization

Fixed a docstring typo in streamer classes, resolved a Kimi-K2.5 tokenizer regression and _patch_mistral_regex AttributeError, and patched a streaming generation crash for Qwen3VLProcessor caused by incorrect _tokenizer attribute access. Additional housekeeping included moving the GPT-SW3 instruct tokenizer to an internal testing repo and fixing a global state leak in the tokenizer registry during tests.

• [Doc] Fix 'tokenized' -> 'tokenizer' typo in streamer docstrings (#​45508) by @​avasis-ai in [#​45508]
• Fix Kimi-K2.5 tokenizer regression and _patch_mistral_regex AttributeError (#​45359) by @​ArthurZucker in [#​45359]
• fix(serving): resolve rust tokenizer from ProcessorMixin in streaming generation (#​45368) by @​sharziki in [#​45368]
• [Tokenizers] Move gpt sw3 tokenizer out (#​45404) by @​vasqu in [#​45404]
• fix: leak in tokenizer registry for test_processors (#​45318) by @​tarekziade in [#​45318]

Cache

Cache handling was improved for Gemma4 and Gemma3n models by dissociating KV state sharing from the Cache class, ensuring KV states are always shared regardless of whether a Cache is used. Additionally, the image cache for Paddle models was updated to align with the latest API.

• Align gemma3n cache sharing to gemma4 (#​45489) by @​Cyrilvallez in [#​45489]
• remove cache file from tree (#​45392) by @​tarekziade in [#​45392]
• [gemma4] Dissociate kv states sharing from the Cache (#​45312) by @​Cyrilvallez in [#​45312]

Audio

Audio models gained vLLM compatibility through targeted fixes across several model implementations, while reliability improvements were also made including exponential back-off retries for audio file downloads, a crash fix in the text-to-speech pipeline when generation configs contain None values, and corrected test failures for Kyutai Speech-To-Text.

• feat[vLLM × v5]: Add vLLM compatibility for audio models (#​45326) by @​harshaljanjani in [#​45326]
• http retries on audio file downloads (#​45126) by @​tarekziade in [#​45126]
• fix(testing): Fix Kyutai Speech-To-Text and LongCatFlash test failures on main CI (#​44695) by @​harshaljanjani in [#​44695]
• Fix text-to-speech pipeline crash when generation config contains None values (#​45107) by @​jiqing-feng in [#​45107]

Bugfixes and improvements

• [Privacy Filter] Add model (#​45580) by @​vasqu in [#​45580]
• Add ForSequenceClassification heads for the OLMo family (#​45551) by @​earino in [#​45551]
• Add IndexCache support for GLM5 DSA (#​45424) by @​louzongzhi in [#​45424]
• Fix redundant logic in video processing SmolVLM (#​45272) by @​yonigozlan in [#​45272]
• Fix typos (#​45574) by @​vasqu in [#​45574]
• [Model] Add SLANet Model Support (#​45532) by @​zhang-prog in [#​45532]
• refactor(Dots1): drop Dots1MoE override to pass (inherits from DSV3 MoE) (#​45572) by @​casinca in [#​45572]
• perf: avoid recomputing rotary_emb for each layer in some Google and ModernBERT models (#​45555) by @​casinca in [#​45555]
• Gemma4 training with text-only samples (#​45454) by @​zucchini-nlp in [#​45454]
• [nemotron_h] Add support for MLP mixers (#​44763) by @​xenova in [#​44763]
• add expert parallelism for gemma-4-26B-A4B-it (#​45279) by @​sywangyi in [#​45279]
• Add full GGUF loading support for GPT‑OSS (fixes #​43366, supersedes #​43757) latest (#​45506) by @​sirzechs66 in [#​45506]
• Update Gemma4 weight conversion script (#​45328) by @​RyanMullins in [#​45328]
• Move some conversion mappings to PrefixChange (#​45567) by @​Cyrilvallez in [#​45567]
• fix table update versions (#​45544) by @​tarekziade in [#​45544]
• Add disable_mmap kwarg to from_pretrained with hf-mount auto-detection (#​45547) by @​rtrompier in [#​45547]
• fix(DSV3): parity between native DeepseekV3MoE and remote official implementation (#​45441) by @​casinca in [#​45441]
• [modular] Fix modular logic broken in #​45045 (#​45539) by @​Cyrilvallez in [#​45539]
• Fix: propagate quantization_config to text sub-config for composite models in AutoModelForCausalLM (#​45494) by @​lvliang-intel in [#​45494]
• T5Gemma2: fix prepare_decoder_input_ids_from_labels (#​45516) by @​Tokarak in [#​45516]
• [Trainer] Add ddp_static_graph option (#​45519) by @​KeitaW in [#​45519]
• Add dtype config options for Four Over Six (#​45367) by @​jackcook in [#​45367]
• [Sam3LiteText] Remove unnecessary modules/configs (#​45535) by @​yonigozlan in [#​45535]
• Fix conditional check for float formatting (#​44425) by @​qgallouedec in [#​44425]
• Fix AMD CI: rebuild torchvision with libjpeg + refresh expectations (#​45533) by @​Abdennacer-Badaoui in [#​45533]
• Reapply modular to examples (#​45527) by @​Cyrilvallez in [#​45527]
• qa: re-run modular converter when the script itself is modified (#​45528) by @​tarekziade in [#​45528]
• [GGUF] Reduce peak RAM usage by casting dequantized tensors early during load (#​45386) by @​UsamaKenway in [#​45386]
• Fix CSM TextToAudioPipeline missing <bos> token (#​45525) by @​jiqing-feng in [#​45525]
• [Conversion Mapping] Small fixups (#​45483) by @​vasqu in [#​45483]
• fix: return empty tuple from import_protobuf_decode_error when protobuf is unavailable (#​45486) by @​jw9603 in [#​45486]
• throw error when conversion required (#​45078) by @​itazap in [#​45078]
• chore: bump doc-builder SHA for PR upload workflow (#​45450) by @​rtrompier in [#​45450]
• xpu output align with cuda in test case (#​45526) by @​sywangyi in [#​45526]
• chore(qa): split out mlinter (#​45475) by @​tarekziade in [#​45475]
• [loading] Clean way to add/remove full parts in checkpoint names (#​45448) by @​Cyrilvallez in [#​45448]
• Fix Zamba2MambaMixer ignoring use_mamba_kernels=False (#​44853) by @​sergiopaniego in [#​44853]
• revert sha commit pointing to main for transformers_amd_ci_ workflows (#​45495) by @​paulinebm in [#​45495]
• Fix ZeRO-3 from_pretrained: load registered buffers in _load_state_dict_into_zero3_model (#​45402) by @​saslifat-gif in [#​45402]
• Remove redundant condition checks in get_image_size method (#​45461) by @​JiauZhang in [#​45461]
• Add check-auto in repo-consistency and fix sorting (#​45481) by @​zucchini-nlp in [#​45481]
• Fix typos in src/transformers/utils/output_capturing.py (#​45269) by @​ryota-komatsu in [#​45269]
• typing: rule 15 - checks for tie_word_embeddings presence (#​44988) by @​tarekziade in [#​44988]
• [CB] Fix capture of max_seqlen (#​45323) by @​remi-or in [#​45323]
• Minor update (#​45484) by @​ydshieh in [#​45484]
• Add Neuron to auto-compile hardware list (#​44757) by @​dacorvo in [#​44757]
• Allow loading Qwen Thinker 'base' models without generative head (#​45457) by @​tomaarsen in [#​45457]
• [fix] Always early return for non-Mistral models in _patch_mistral_regex (#​45444) by @​tomaarsen in [#​45444]
• Fix spurious position_ids warnings for at least 40 architectures (#​45437) by @​tomaarsen in [#​45437]
• [fix] Make Qwen2_5OmniProcessor warning a lot less noisy via warning_once (#​45455) by @​tomaarsen in [#​45455]
• Dynamic auto mapping (#​45018) by @​zucchini-nlp in [#​45018]
• [docs] vlm addition (#​45271) by @​stevhliu in [#​45271]
• fix: dont download artifacts from the test hub (#​45319) by @​tarekziade in [#​45319]
• fix(clipseg): fix 2 failing tests (#​45403) by @​kaixuanliu in [#​45403]
• [docs] @​auto_docstring decorator (#​45130) by @​stevhliu in [#​45130]
• Fix Sam3Processor missing input_boxes_labels for padded None entries (#​45171) by @​Kash6 in [#​45171]
• better grad acc tests (#​45434) by @​SunMarc in [#​45434]
• Add example for iterative chatting with MLLMs (#​45398) by @​zucchini-nlp in [#​45398]
• Gemma4 resizing per layer inputs (#​45324) by @​zucchini-nlp in [#​45324]
• Add step3_vl to MODELS_WITH_INCORRECT_HUB_TOKENIZER_CLASS (#​45449) by @​hmellor in [#​45449]
• Update workflow references to new commit hash (#​45442) by @​paulinebm in [#​45442]
• [Gemma4] Add docstrings for Per-Layer Embeddings (PLE) pipeline (#​45207) by @​w4nderlust in [#​45207]
• [Doc] Correct checkpoint path in Dinov2 model_docs (#​45430) by @​ambroiseodt in [#​45430]
• Fix ty for transformers cli (#​45190) by @​SunMarc in [#​45190]
• fix(models): Resolve regressions in Wav2Vec2PhonemeCTCTokenizer (wav2vec2-lv-60-espeak-cv-ft) (#​45199) by @​harshaljanjani in [#​45199]
• Fix Qwen2.5VL temporal grid positions (#​45400) by @​zucchini-nlp in [#​45400]
• [fix] PEFT integration fixes preventing save/load & integration (#​45428) by @​tomaarsen in [#​45428]
• Fix the response schema for the gemma4 converter (#​45411) by @​Rocketknight1 in [#​45411]
• [Doc] MoE routing capture and replay recipe (#​44925) by @​kashif in [#​44925]
• Fix apply_chat_template crash on tool_call messages without content (#​45348) by @​qgallouedec in [#​45348]
• [AMD CI] Fix torch.compile/export failures on AMD CI due to untraceable set.contains (#​45282) by @​Abdennacer-Badaoui in [#​45282]
• [inference_fusion] convert conv3d patch embed to linear (#​45041) by @​JJJYmmm in [#​45041]
• Fix #​45305 + add regression test GAS (#​45349) by @​florian6973 in [#​45349]
• Update trackio integration to use Buckets and "freeze" Space after training (#​45329) by @​abidlabs in [#​45329]
• fix(qwen3_moe): correct return type annotation on Qwen3MoeSparseMoeBlock.forward (#​45352) by @​RudrenduPaul in [#​45352]
• Fix: NotebookProgressCallback crash when evaluating with the Trainer (#​44949) by @​Charly21r in [#​44949]
• docs: fix 5 docstring errors in Gemma3nTextConfig (typos, grammar, formatting) (#​45370) by @​RudrenduPaul in [#​45370]
• Less unnecessary RoPE warnings (#​45289) by @​zucchini-nlp in [#​45289]
• Fix unintended Hub metadata calls from _patch_mistral_regex (#​43603) by @​vaibhav-research in [#​43603]
• Fix MoE routers returning probabilities instead of logits (#​45131) by @​yacinemebarki in [#​45131]
• [docs] training on specific hardware (#​44799) by @​stevhliu in [#​44799]
• [docs] zero + sequence parallelism (#​44605) by @​stevhliu in [#​44605]
• Fix vlm weight mappings (#​45358) by @​Cyrilvallez in [#​45358]
• Copy the template resolution logic from the base apply_chat_template to Voxtral (#​45117) by @​Rocketknight1 in [#​45117]
• add kwargs to all methods in the CallbackHandler class (#​45353) by @​wilnn in [#​45353]
• Close file handler (#​45187) by @​ydshieh in [#​45187]
• fix: restore mypy type checking for PreTrainedConfig subclasses (#​45071) (#​45240) by @​shhKnight30 in [#​45240]
• cohere_asr: fix device issue for test_model_parallel_beam_search (#​45214) by @​kaixuanliu in [#​45214]
• Fix AttributeError in Gemma3ForConditionalGeneration and Gemma3ForSequenceClassification when config.return_dict=False (#​45277) by @​kamalrajkannan78 in [#​45277]
• fix bug for videomt model device mismatch (#​45204) by @​kaixuanliu in [#​45204]
• fix gemma4 gradient accumulation loss and last token incorrect labels (#​45354) by @​winglian in [#​45354]
• Logger has [transformers] prefix in non-verbose mode (#​45316) by @​zucchini-nlp in [#​45316]
• Fix AttributeError in AssistantToTargetTranslator.unmap_input_ids with cross-vocab models (#​45320) by @​Regata3010 in [#​45320]
• musicflamingo: add test support for Intel XPU device (#​45212) by @​kaixuanliu in [#​45212]
• nomic_bert: make the test suitable for general device. (#​45209) by @​kaixuanliu in [#​45209]
• Skip invalid flash-attn tests for pi0 model (#​45011) by @​kaixuanliu in [#​45011]
• Add cuda compatibility check for using grouped_mm (#​45001) by @​Sai-Suraj-27 in [#​45001]
• [docs] optimizers, hyperparam search, training features (#​44290) by @​stevhliu in [#​44290]
• Remove unused parameters and improve add_tensor_parallel_hooks_t… (#​44768) by @​michaelbenayoun in [#​44768]
• [gemma4] Fix device map auto (#​45347) by @​Cyrilvallez in [#​45347]
• Refactor CLIP-like models (#​44431) by @​zucchini-nlp in [#​44431]
• refactor: display test duration (#​45344) by @​tarekziade in [#​45344]
• Fix Wav2Vec2Config.vocab_size type to allow None (#​45108) by @​jiqing-feng in [#​45108]
• Add THD support in ESM (#​44145) by @​balvisio in [#​44145]
• [gemma4] Remove all shared weights, and silently skip them during loading (#​45336) by @​Cyrilvallez in [#​45336]
• Fix conversion mappings for vlms (#​45340) by @​Cyrilvallez in [#​45340]
• chore: added circleci python script to ruff and ty checkers (#​45339) by @​tarekziade in [#​45339]
• tweak checkers output on errors (#​45163) by @​tarekziade in [#​45163]
• chore: remove test_hub for now (#​45337) by @​tarekziade in [#​45337]
• [docs] pipeline cleanup (#​44954) by @​stevhliu in [#​44954]
• Fix export for gemma4 and add Integration tests (#​45285) by @​Cyrilvallez in [#​45285]
• Fix vllm cis (#​45139) by @​ArthurZucker in [#​45139]
• [docs] static model rules (#​45232) by @​stevhliu in [#​45232]
• fix(security): prevent untrusted users from triggering TRL CI dispatch (#​45302) by @​jagwar in [#​45302]
• [AMD CI] Fix Qwen2 expectations (#​45284) by @​Abdennacer-Badaoui in [#​45284]
• Add hasattr(torch.backends.cudnn, "conv") to conftest.py (#​45263) by @​ydshieh in [#​45263]
• Fix SmolVLM video processor resize using wrong interpolation after backend refactor (#​45258) by @​ydshieh in [#​45258]
• Fix Qwen2IntegrationTest (#​45268) by @​ydshieh in [#​45268]
• doc: fix TokenizersBackend.convert_to_native_format docstring (#​45262) by @​lowzhao in [#​45262]
• empty (#​45261) by @​ydshieh in [#​45261]
• Fix unexpected TF32 being enabled in testing (#​45252) by @​ydshieh in [#​45252]
• Fix tf32 issue: set torch.backends.cudnn.conv.fp32_precision explicitly. (#​45248) by @​ydshieh in [#​45248]
• Nvidia CI with torch 2.11 (#​45243) by @​ydshieh in [#​45243]
• Update tiny model creation script (#​45241) by @​ydshieh in [#​45241]
• Update get_test_info.py (related to tiny model creation) (#​45238) by @​ydshieh in [#​45238]
• More fix for tiny model creation (#​45228) by @​ydshieh in [#​45228]
• remove unnecessary entries in some auto model mappings (#​45224) by @​ydshieh in [#​45224]
• fix: hf-doc-builder insallation was failing (#​45225) by @​tarekziade in [#​45225]
• [CB] Add per-request logits processors (#​45026) by @​remi-or in [#​45026]
• [docs] formatting (#​45196) by @​stevhliu in [#​45196]
• fix test_register_result_handler (#​45188) by @​SunMarc in [[#​45188](https://redirect.github.com/

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