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3375 Commits
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Steven Liu
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df12d87d18
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[docs] ViTPose (#38630)
* vitpose * fix? * fix? * feedback * fix * feedback * feedback * update sample image |
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Yaswanth Gali
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b61023a1b7
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🚨🚨🚨 [eomt] make EoMT compatible with pipeline (#39122)
* Make EoMT compatible with pipeline
* Implicit patch offsets
* remove patch offsets from arg
* Modify tests
* Update example
* fix proc testcase
* Add few more args
* add pipeline test suite
* fix
* docstring fixes
* add pipeline test
* changes w.r.t review
* 🙈 MB
* should fix device mismatch
* debug
* Fixes device mismatch
* use decorator
* we can split mlp
* expected values update
---------
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
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Chong You
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e8e0c76162
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Add activation sparsity reference in gemma3n doc (#39160)
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Add activation sparsity reference in the description of gemma3n |
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Drew Ross
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fe35eca7bd
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Update BigBirdPegasus model card (#39104)
* Update igbird_pegasus.md * Apply suggestions from code review Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> --------- Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> |
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Yao Matrix
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29a3f5ed8c
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switch default xpu tp backend to pytorch built-in XCCL from pytorch 2.8 (#39024)
* switch default xpu tp backend to pytorch built-in XCCL from pytorch 2.8 Signed-off-by: YAO Matrix <matrix.yao@intel.com> * Update docs/source/en/perf_infer_gpu_multi.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update perf_infer_gpu_multi.md * Update perf_infer_gpu_multi.md * Update perf_infer_gpu_multi.md --------- Signed-off-by: YAO Matrix <matrix.yao@intel.com> Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> |
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jiqing-feng
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03db2700ab
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Enable XPU doc (#38929)
* fix example with dataset Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * update torchao doc Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * update torchao doc Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * fix device type Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * revert torchao change Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * fix torchao doc Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * revert torchao change Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * update xpu torchao doc Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * update chat_templating_multimodal.md Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * use full name for int8 Signed-off-by: jiqing-feng <jiqing.feng@intel.com> * revert int8 title Signed-off-by: jiqing-feng <jiqing.feng@intel.com> --------- Signed-off-by: jiqing-feng <jiqing.feng@intel.com> Co-authored-by: Mohamed Mekkouri <93391238+MekkCyber@users.noreply.github.com> |
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Lysandre Debut
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e8f90b5397
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Split transformers chat and transformers serve (#38443)
* Next token * Split chat and serve * Support both generation methods * Style * Generation Config * temp * temp * Finalize serving.py Co-authored-by: =?UTF-8?q?c=C3=A9lina?= <hanouticelina@gmail.com> * Finalize chat.py * Update src/transformers/commands/serving.py Co-authored-by: célina <hanouticelina@gmail.com> * Lucain's comments Co-authored-by: Lucain <lucain@huggingface.co> * Update * Last comments on PR * Better error handling * Better error handling * CI errors * CI errors * Add tests * Fix tests * Fix tests * [chat] Split chat/serve (built on top of lysandre's PR) (#39031) * Next token * Split chat and serve * Support both generation methods * Style * Generation Config * temp * temp * Finalize serving.py Co-authored-by: =?UTF-8?q?c=C3=A9lina?= <hanouticelina@gmail.com> * Finalize chat.py * Update src/transformers/commands/serving.py Co-authored-by: célina <hanouticelina@gmail.com> * Lucain's comments Co-authored-by: Lucain <lucain@huggingface.co> * Update * Last comments on PR * Better error handling * Better error handling * CI errors * CI errors * Add tests * Fix tests * Fix tests * streaming tool call * abstract tool state; set tool start as eos * todos * server working on models without tools * rm chat's deprecated flags * chat defaults * kv cache persists across calls * add server docs * link * Update src/transformers/commands/serving.py * Apply suggestions from code review * i love merge conflicts * solve multi turn with tiny-agents * On the fly switching of the models * Remove required positional arg --------- Co-authored-by: Lysandre <hi@lysand.re> Co-authored-by: =?UTF-8?q?c=C3=A9lina?= <hanouticelina@gmail.com> Co-authored-by: Lucain <lucain@huggingface.co> * Protect names * Fix tests --------- Co-authored-by: =?UTF-8?q?c=C3=A9lina?= <hanouticelina@gmail.com> Co-authored-by: Lucain <lucain@huggingface.co> Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> |
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Ryan Mullins
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ed9f252608
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docs: Gemma 3n audio encoder (#39087)
Updating Gemma 3n docs and docstrings to clarify the relationship between the newly trained audio encoder used in Gemma 3n and the USM model from the original paper. |
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Sandeep Yadav
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18143c76bf
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Sandeepyadav1478/2025 06 19 deberta v2 model card update (#38895)
* [docs]: update deberta-v2.md model card * chore: req updates * chore: address code review feedback and update docs * chore: review feedback and updates * chore: model selection updates * chores: quantizations review updates |
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farrosalferro
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dd7dc4a4a2
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Add Fast Image Processor for Chameleon (#37140)
* Add Fast Image Processor for Chameleon * add warning to resize and move blend_rgba to convert_to_rgb * Remove unrelated files * Update image_processing_chameleon_fast to use auto_docstring * fix equivalence test --------- Co-authored-by: Yoni Gozlan <74535834+yonigozlan@users.noreply.github.com> Co-authored-by: yonigozlan <yoni.gozlan@huggingface.co> |
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MinJu-Ha
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49d9fd49bd
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Add Fast Image Processor for mobileViT (#37143)
* Add image_processing_mobilevit_fast.py * Fix copies * update _preprocess for channel_flip * Update for batched image processing * Resolve merge conflicts with main * Fix import order and remove trailing whitespace (ruff clean-up) * Fix copy inconsistencies * Add NotImplementedError for post_process_semantic_segmentation to satisfy repo checks * Add auto_docstring * Adjust style * Update docs/source/en/model_doc/mobilevit.md Co-authored-by: Yoni Gozlan <74535834+yonigozlan@users.noreply.github.com> * Update src/transformers/models/mobilevit/image_processing_mobilevit_fast.py Co-authored-by: Yoni Gozlan <74535834+yonigozlan@users.noreply.github.com> * Update src/transformers/models/mobilevit/image_processing_mobilevit_fast.py Co-authored-by: Yoni Gozlan <74535834+yonigozlan@users.noreply.github.com> * Delete not used function * test: add missing tests for and * Add post_process_semantic_segmentation to mobilevit_fast.py * Add preprocess function to image_processing_mobilebit_fast.py * ruff check for formatting * fix: modify preprocess method to handle BatchFeature correctly * Remove logic for default value assignment Co-authored-by: Yoni Gozlan <74535834+yonigozlan@users.noreply.github.com> * Remove normalization adn RGB conversion logic not used in slow processor Co-authored-by: Yoni Gozlan <74535834+yonigozlan@users.noreply.github.com> * Simplify return_tensors logic using one-liner conditional expression Co-authored-by: Yoni Gozlan <74535834+yonigozlan@users.noreply.github.com> * Remove unused normalization and format parameters Co-authored-by: Yoni Gozlan <74535834+yonigozlan@users.noreply.github.com> * add **kwargs and remove default values in _preprocess * add slow_fast equivalence tests for segmentation * style: autoformat code with ruff * Fix slow_fast equivalence test * merge + remove skipped test --------- Co-authored-by: Yoni Gozlan <74535834+yonigozlan@users.noreply.github.com> Co-authored-by: yonigozlan <yoni.gozlan@huggingface.co> |
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Nahieli
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4336ecd1ea
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add fast image processor nougat (#37661)
* add fast image processor nougat * test fixes * docstring white space * last fixes * docstring_type * tolerance unit test * fix tolerance * fix rtol * remove traling white space * remove white space * note for tolerance unit test * fix tests * remove print --------- Co-authored-by: yonigozlan <yoni.gozlan@huggingface.co> Co-authored-by: Yoni Gozlan <74535834+yonigozlan@users.noreply.github.com> |
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Yaswanth Gali
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1750c518dd
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✨ Add EoMT Model || 🚨 Fix Mask2Former loss calculation (#37610)
* Initial Commit * up * More changes * up * Only mask_logits mismatch * close enough logits debug later * fixes * format * Add dummy loss * Close enough processing for semantic seg * nit * Added panoptic postprocessor * refactor * refactor * finally fixed panoptic postprocessor * temp update * Refactor ForUniversalSegmentation class * nits and config update * Few fixes and inference matches * change mapping * Added training support but loss slightly off 🥲 * Loss is matching 😀 * update * Initial tests skelton * changes * tests update * more modular * initial tests * updates * better docstrings * changes * proc tests passing :) * Image processor update * tiny change * QOL changes * Update test w.r.t latest attn refactor * repo-consistency fixes * up * Image proc fix and integration tests :) * docs update * integration tests * fix * docs update 🥰 * minor fix * Happy CI * fix * obvious refactoring * refactoring w.r.t review * Add fask image proc skelton * Fast Image proc and cleanups * Use more modular * tests update * Add more tests * Nit * QOL updates * change init_weights to torch default * add eager func coz of make style * up * changes * typo fix * Updates * More deterministic tests * More modular * go more modular 🚀 * up * dump * add supprot for giant ckpts * overhaul * modular * refactor * instace seg is ready * cleanup * forgot this * docs cleanup * minor changes * EoMT - > Eomt * Happy CI * remove redundant comment * Change model references * final change * check annealing per block * My other PR changes 😂 --------- Co-authored-by: Cyril Vallez <cyril.vallez@huggingface.co> |
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Steven Liu
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a52478253b
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[docs] Tensor parallelism (#38241)
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* updates * feedback * badges * fix? * fix? * fix? * fix? |
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Steven Liu
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84e8696cae
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[docs] @auto_docstring (#39011)
* refactor * feedback |
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Drew Ross
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018855de63
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Update PEGASUS-X model card (#38971)
* Update PEGASUS-X model card * Add cache_implementation argument in quantization code example * Update CLI example * Apply suggestions from code review Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Remove TensorFlow and Flax badges --------- Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> |
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Steven Liu
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757c26fb40
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[docs] Model contribution (#38995)
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improve |
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StevenBucaille
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f171e7e884
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Update SuperPoint model card (#38896)
* docs: first draft to more standard SuperPoint documentation * Apply suggestions from code review Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * docs: reverted changes on Auto classes * docs: addressed the rest of the comments * docs: remove outdated reference to keypoint detection task guide in SuperPoint documentation * Update superpoint.md --------- Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> |
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Ryan Mullins
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c63cfd6a83
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Gemma 3n (#39059)
* Gemma 3n * initial commit of Gemma 3n scaffold * Fixing param pass through on Gemm3p5RMSNorm * Adds Einsum layer to Gemma 3n * Updating EinsumLayer API * Undoing erroneous force push * Reverting RMSNorm to with_scale by default * Adds LAuReL to Gemma 3n * Adds AltUp to Gemma 3n * Adding Gemma3p5 overall and text config with vision and audio config placeholders (#3) * Adding gemma3p5 text configs * Adding audio config placeholders * Adding a placeholder for vision configs * Updating MobileNetVisionConfig, inheriting TimmWrapperConfig * Updating text configs * Update src/transformers/models/gemma3p5/modular_gemma3p5.py Co-authored-by: Ryan Mullins <ryanmullins@google.com> * Removing altup configs to accept the suggested configs * Update src/transformers/models/gemma3p5/modular_gemma3p5.py Co-authored-by: Ryan Mullins <ryanmullins@google.com> * Updating altup config * Update modular Co-authored-by: Ryan Mullins <ryanmullins@google.com> * Update modular Co-authored-by: Ryan Mullins <ryanmullins@google.com> * Update modular Co-authored-by: Ryan Mullins <ryanmullins@google.com> * Update modular Co-authored-by: Ryan Mullins <ryanmullins@google.com> * Addressing review comments and updating text configs * Adding a config for activation sparsity * Updating configs to pass through options to super class init and adjust some name prefixes * Updating laurel and altup with corrected config values * Normalizing sub_config initializers --------- Co-authored-by: Ryan Mullins <ryanmullins@google.com> * Updating MLP with activation sparsity (#2) * Updating DecoderBlock for Gemma 3n (#3) * Initial Gemm3nTextModel (#4) NOTE: This implementation WILL CHANGE in the coming weeks, however, changes will be strictly additive and this will remain a suitable baseline for downstream implementations to reference. * Adding KV Cache Sharing * Adds Einsum layer to Gemma 3n * Updating EinsumLayer API * Refactored kv cache sharing in attention * Adding KVStore for cache sharing * Update modular Co-authored-by: Ryan Mullins <ryanmullins@google.com> * Update modular Co-authored-by: Ryan Mullins <ryanmullins@google.com> * Update modular Co-authored-by: Ryan Mullins <ryanmullins@google.com> * Update src/transformers/cache_utils.py Co-authored-by: Ryan Mullins <ryanmullins@google.com> * Undoing erroneous force push * Reverting RMSNorm to with_scale by default * Adds LAuReL to Gemma 3n * Updating KV Cache Sharing implementation * Updating the q and k norm definitions in the attention module * Fixing name error for q,k,v RMS norm to use the right 3n module * Updating MLP with activation sparsity * Updating DecoderBlock for Gemma 3.5 * Updating kv cache sharing implementation with the use of a cache buffer and refactoring some lines of code * Isolating KV Cache logic to relevant components * Fixing logic error in Gemma3nAttention.forward * Refactoring caching contributions and fixing kv_store initialization * Simplifying Configs * Remove errant self from super init call * Bug fix in the Attention module - changing self.head_dim to config.head_dim * Bug fixes in the LaurelBlock and RMS Norm super init call * removing redundant code from a merge * Adding per_layer_inputs to TextModel * Adding preprocess embeddings with altup * Adds per-layer-to-single output and a host of TODOs * Integrating altup predict with the model workflow and other minor bug fixes * Using nn.Embedding temporarily for text model * It goes forward * Minor refactor of attention sparsity and RoPE initialization * Fixing duplicate rope_scaling param bug when loading from pretrained --------- Co-authored-by: Sindhu Raghuram <sindhuraghuram@google.com> Co-authored-by: SindhuRaghuram97 <114270661+SindhuRaghuram97@users.noreply.github.com> * Normalizing on altup_num_inputs config option * regenerating modeling file after syncing to HEAD * Use torch.std(..., unbiased=False) for activation sparsity (#8) * Refactoring to a single QVK Norm (#13) * AltUp: support scale_corrected_output (#14) * Converts einsums to nn.Linear (#7) * Converts einsums to nn.Linear * Removing unused variables * Aligning SharedKVCache with HybridCache (#11) * Alinging SharedKVStore with HybridCache * Remove KVStore. Refactor apply_rotary_pos_emb for sharing * Addressing review comments * Supporting split modality embeddings in Gemma3n (#10) * Adding the Embedder class * Update modular Co-authored-by: Ryan Mullins <ryan@ryanmullins.org> * Update modular Co-authored-by: Ryan Mullins <ryan@ryanmullins.org> * Update modular Co-authored-by: Ryan Mullins <ryan@ryanmullins.org> * Update modular Co-authored-by: Ryan Mullins <ryan@ryanmullins.org> * Update modular Co-authored-by: Ryan Mullins <ryan@ryanmullins.org> * Update modular Co-authored-by: Ryan Mullins <ryan@ryanmullins.org> * Addressing review comments, adding audio embedding layers, integrating embedder with the remaining architecture, adding a forward method for conditional generation * Apply suggestions from code review Co-authored-by: Ryan Mullins <ryan@ryanmullins.org> * Update modular Co-authored-by: Ryan Mullins <ryan@ryanmullins.org> * Addressing review comments, prop drilling audio and vision configs to the text config * Removing TODO's that have been addressed * Simplify Embedder init and add audio embeddings * Embeddings refactor. Adds Gemma3nAudioEmbedder and Gemma3nVisionEmbedder * Refactoring vision and audio embeddings into ConditionalGeneration model --------- Co-authored-by: Ryan Mullins <ryan@ryanmullins.org> Co-authored-by: Ryan Mullins <ryanmullins@google.com> * Updating attention mask for Gemma 3.5 (#15) * xxx_token_index to xxx_token_id * remvoing deprecated last_cache_position * Removing references to SigLIP * Always init per-layer inputs * Using torch.finfo().min for epsilon_tensor * Gemma3nDecoderLayer inherits from Gemma3DecoderLayer. Remove gating lambdas * fix modular GEMMA3N_INPUTS_DOCSTRING * Gemma3nAttention inherits from Gemma3Attention * Modular inheritance fixes * CausalLM conversion script for 4B model (#16) * Add Gemma3n Audio Encoder (#6) * initial commit of Gemma 3.5 scaffold * Fixing param pass through on Gemm3nRMSNorm * Adds Einsum layer to Gemma 3.5 * Updating EinsumLayer API * Undoing erroneous force push * Reverting RMSNorm to with_scale by default * Adds LAuReL to Gemma 3n * Adds AltUp to Gemma 3n * Adding Gemma3n overall and text config with vision and audio config placeholders (#3) * Adding gemma3n text configs * Adding audio config placeholders * Adding a placeholder for vision configs * Updating MobileNetVisionConfig, inheriting TimmWrapperConfig * Updating text configs * Update modular Co-authored-by: Ryan Mullins <ryanmullins@google.com> * Removing altup configs to accept the suggested configs * Update modular Co-authored-by: Ryan Mullins <ryanmullins@google.com> * Updating altup config * Update modular Co-authored-by: Ryan Mullins <ryanmullins@google.com> * Update modular Co-authored-by: Ryan Mullins <ryanmullins@google.com> * Update modular Co-authored-by: Ryan Mullins <ryanmullins@google.com> * Update modular Co-authored-by: Ryan Mullins <ryanmullins@google.com> * Addressing review comments and updating text configs * Adding a config for activation sparsity * Updating configs to pass through options to super class init and adjust some name prefixes * Updating laurel and altup with corrected config values * Normalizing sub_config initializers --------- Co-authored-by: Ryan Mullins <ryanmullins@google.com> * Updating MLP with activation sparsity (#2) * Updating DecoderBlock for Gemma 3.5 (#3) * Initial Gemm3nTextModel (#4) NOTE: This implementation WILL CHANGE in the coming weeks, however, changes will be strictly additive and this will remain a suitable baseline for downstream implementations to reference. * Adding KV Cache Sharing * Adds Einsum layer to Gemma 3.5 * Updating EinsumLayer API * Refactored kv cache sharing in attention * Adding KVStore for cache sharing * Update modular Co-authored-by: Ryan Mullins <ryanmullins@google.com> * Update modular Co-authored-by: Ryan Mullins <ryanmullins@google.com> * Update modular Co-authored-by: Ryan Mullins <ryanmullins@google.com> * Update src/transformers/cache_utils.py Co-authored-by: Ryan Mullins <ryanmullins@google.com> * Undoing erroneous force push * Reverting RMSNorm to with_scale by default * Adds LAuReL to Gemma 3n * Updating KV Cache Sharing implementation * Updating the q and k norm definitions in the attention module * Fixing name error for q,k,v RMS norm to use the right Gemma 3n module * Updating MLP with activation sparsity * Updating DecoderBlock for Gemma 3.5 * Updating kv cache sharing implementation with the use of a cache buffer and refactoring some lines of code * Isolating KV Cache logic to relevant components * Fixing logic error in Gemma3nAttention.forward * Refactoring caching contributions and fixing kv_store initialization * Simplifying Configs * Remove errant self from super init call * Bug fix in the Attention module - changing self.head_dim to config.head_dim * Bug fixes in the LaurelBlock and RMS Norm super init call * removing redundant code from a merge * Adding per_layer_inputs to TextModel * Adding preprocess embeddings with altup * Adds per-layer-to-single output and a host of TODOs * Integrating altup predict with the model workflow and other minor bug fixes * Using nn.Embedding temporarily for text model * It goes forward * Minor refactor of attention sparsity and RoPE initialization * Fixing duplicate rope_scaling param bug when loading from pretrained --------- Co-authored-by: Sindhu Raghuram <sindhuraghuram@google.com> Co-authored-by: SindhuRaghuram97 <114270661+SindhuRaghuram97@users.noreply.github.com> * Normalizing on altup_num_inputs config option * Adding audio encoder config * Adds high-level components for Audio Encoder * Implement uniform reducer for Audio Encoder * Adding placeholders for Conformer components in Audio Encoder * Adding placeholders for SubSampleConvProjection components in Audio Encoder * Adding SequenceLayer component placeholders * Implementing Gemma3nAudioEncoder with nn.Sequential * Implementing Gemma3nAudioSubSampleConvProjection with nn.Sequential * Implementing Conformer model with SequenceLayers * Use OrderedDict in nn.Sequential initializers * Implements sl.Residual in Torch with nn.Sequential and OrderedDict * Adopting a base SequenceLayer class with default forward() method * Implementing sl.GatedLinearUnit in Torch * Implementing sl.Swish in Torch * Implementing sl.ReLU in Torch * Implementing sl.Scale in Torch * Removing sl.Dropout after tree-shaking * Implementing sl.RMSNorm in Torch with fake shape * Implementing sl.GroupNorm in Torch * Implementing sl.Conv2d in Torch * Implementing sl.Dense in Torch * Removing sl.Delay layers, which act as pass-throughs * Connecting shapes to configs in initializers * Removing sl.Emit * Implementing sl.ExpandDims in Torch * Adding sl.GradientClipping to Torch * Implementing sl.DenseShaped in Torch * Implementing sl.LDPA in Torch * Removing unused sl.CombinedQKVProj class * Fixing erroneous type hint * Implemnenting sl.DepthwiseConv1D in Torch * Implementing sl.MaskInvalid in Torch * Fixes for initialization * Fixes for saving weights * Removing einsums per feedback from HF staff * Removing Sequence Layers idioms from audio encoder * Fixes for reviewer comments * CausalLM conversion script for 4B model * inv_timescales to non-persistent buffer * Addressing audio encoder Attention feedback * Addressing Gemma3nAudioSSCPConvBlock feedback * Addressing Gemma3nAudioConformerAttention feedback * Addressing padding feedback * Weights conversion loads audio state dict * Always use vision_config so saving works * Token id updates for configs * Stubs for interleaving audio embs * Addressing reviewer feedback --------- Co-authored-by: SindhuRaghuram97 <114270661+SindhuRaghuram97@users.noreply.github.com> Co-authored-by: Sindhu Raghuram <sindhuraghuram@google.com> * Fixing cache access error * Removing duplicate code from a bad merge * Gemma 3n Text + Vision Part 1 (#17) * testing utilities for numerics comparisons * Corrected einsum to nn.Linear weights conversion * Inherit scaled word embs from Gemma3 not Bart * Fixing transposes for collapsed linears * More transpose fixes * numpy api fix * RMSNorm: Explicit kwargs, scale_shift=0.0 when with_scale=True * Force AltUp to float32 * Updating debugging script for AudioEncoder debugging * Support divide_weight_by_sqrt_fan_in from JAX for per-layer inputs * Correcting attention einsum conversions * RMSNorm in type of x * Fixing douplicate laurel norm/gating * KV sharing using the right previous indices * Refactor kv shared index computation. Correct frac_shared_layers * Use num_shared_layers instead of inferring from a fraction * fixing a bug for logging * Fix shared data_ptrs in altup inits * rope: adjust proj -> norm -> rope to preserve computation (#20) * rope: adjust proj -> norm -> rope to preserve computation * Removing some breaking language model fluff in ConditionalGeneration * Consolidate query_states transforms --------- Co-authored-by: Douglas Reid <21148125+douglas-reid@users.noreply.github.com> Co-authored-by: Ryan Mullins <ryanmullins@google.com> * Vectorize the loops in AltUp (#19) * Vectorize the loops in AltUp * fix typo * Expanding to support batched inputs * remove extra debug script * Fix AltUp.forward --------- Co-authored-by: Ryan Mullins <ryanmullins@google.com> * Add 'scale_shift=0.0, with_scale=True' to the final norm in TextModel * Convert norm to 1/sqrt (#21) * Convert norm to 1/sqrt * Scale shift change per Phil's rec * Adding default activation sparsity * Fixing 2B config in weights conversion script * Fixing RMSNorm parameters - adding scale_shift and with_scale * Correcting query pre-attention scaling * Adding query_rescale_scalar to text config * Adding layer_idx to MLP * Permafix for input_layernorm * Use 1/sqrt instead of rsqrt in DecoderLayer * Fix o_proj conversion * Conversion script update for vision encoder * Removing logging for debugging timm model * Fixing bugs in Gemma3nForConditionalGeneration for text generation * Generating the modeling_gemma3n.py file * Removing the addition of an erroneous line in the modeling file * Adding gemma3n text model to modeling_auto * Bugfix: Updating the interleaving of inputs_embeds and vision_embeds * Updating the modeling file with the latest bugfix changes * Updating models/auto for Gemma 3n * using AutoTokenizer in forward test * Adding processing_gemma3n.py * Gemma 3n configured for AutoModel. Conversion script updated. * Removing errant merge artifacts --------- Co-authored-by: Mayank Chaturvedi <imayank@google.com> Co-authored-by: Douglas Reid <douglas-reid@users.noreply.github.com> Co-authored-by: Douglas Reid <21148125+douglas-reid@users.noreply.github.com> Co-authored-by: Xuan-Son Nguyen <thichthat@gmail.com> Co-authored-by: Sindhu Raghuram <sindhuraghuram@google.com> * Removing errant debugging statements from Gemma 3 * Gemma3n audio model (#18) * testing utilities for numerics comparisons * Implement CumulativeGroupNorm and add to SubSampleConvProjection and SSCPConvBlock * Add audio version of forward script based on RyanMullins' implementation * Updating to match encoder tests. WIP: config question needs resolving * Updates to audio classes to enable end-to-end running * Removing vestigial classes, cleaning up print statements * Adding SiLU / Swish to audio conformer feed forward block * Shifted Gemma3p5Audio naming prefix to Gemma3NanoAudio * Adding outputs to audio test * Fixes to padding in SSCP and 1D convolution, align RMS Norm with wider model * Update forward test to load from local weights * Update conversion to process / output audio layers * Update __all__ to export audio encoder * AutoModel registration for Gemma 3n Audio * Use AutoModel for ConditionalGeneration.audio_tower * Fixing input_proj_linear transpose * Fixing Gemma3NanoAudioConformerAttention.post conversion * Fixing Gemma3NanoAudioSSCPConvBlock.conv weights conversion * Correcting indentation issue on Gemma3p5RMSNorm --------- Co-authored-by: Ryan Mullins <ryanmullins@google.com> * Text + Vision Part 2 (#23) * Updates for ConditionalGeneration.get_image_features * Adding a WIP draft of image_processing_gemma3p5.py * Update src/transformers/models/gemma3p5/modular_gemma3p5.py Co-authored-by: SindhuRaghuram97 <114270661+SindhuRaghuram97@users.noreply.github.com> * Modular conversion after github suggested change * Text + image gives good results * Fixing image size preset * Updating configs for the 2B variant in the conversion script * Using final generation config in conversion script --------- Co-authored-by: Sindhu Raghuram <sindhuraghuram@google.com> Co-authored-by: SindhuRaghuram97 <114270661+SindhuRaghuram97@users.noreply.github.com> * Audio Integration (#12) * initial commit of Gemma 3n scaffold * Fixing param pass through on Gemm3nRMSNorm * Adds Einsum layer to Gemma 3n * Updating EinsumLayer API * Undoing erroneous force push * Reverting RMSNorm to with_scale by default * Adds LAuReL to Gemma 3n * Adds AltUp to Gemma 3n * Adding Gemma 3n overall and text config with vision and audio config placeholders (#3) * Adding Gemma 3n text configs * Adding audio config placeholders * Adding a placeholder for vision configs * Updating MobileNetVisionConfig, inheriting TimmWrapperConfig * Updating text configs * Update modular Co-authored-by: Ryan Mullins <ryanmullins@google.com> * Removing altup configs to accept the suggested configs * Update modular Co-authored-by: Ryan Mullins <ryanmullins@google.com> * Updating altup config * Update modular Co-authored-by: Ryan Mullins <ryanmullins@google.com> * Update modular Co-authored-by: Ryan Mullins <ryanmullins@google.com> * Update modular Co-authored-by: Ryan Mullins <ryanmullins@google.com> * Update modular Co-authored-by: Ryan Mullins <ryanmullins@google.com> * Addressing review comments and updating text configs * Adding a config for activation sparsity * Updating configs to pass through options to super class init and adjust some name prefixes * Updating laurel and altup with corrected config values * Normalizing sub_config initializers --------- Co-authored-by: Ryan Mullins <ryanmullins@google.com> * Updating MLP with activation sparsity (#2) * Updating DecoderBlock for Gemma 3n (#3) * Initial Gemma3nTextModel (#4) NOTE: This implementation WILL CHANGE in the coming weeks, however, changes will be strictly additive and this will remain a suitable baseline for downstream implementations to reference. * Adding KV Cache Sharing * Adds Einsum layer to Gemma 3n * Updating EinsumLayer API * Refactored kv cache sharing in attention * Adding KVStore for cache sharing * Update modular Co-authored-by: Ryan Mullins <ryanmullins@google.com> * Update modular Co-authored-by: Ryan Mullins <ryanmullins@google.com> * Update modular Co-authored-by: Ryan Mullins <ryanmullins@google.com> * Update src/transformers/cache_utils.py Co-authored-by: Ryan Mullins <ryanmullins@google.com> * Undoing erroneous force push * Reverting RMSNorm to with_scale by default * Adds LAuReL to Gemma 3n * Updating KV Cache Sharing implementation * Updating the q and k norm definitions in the attention module * Fixing name error for q,k,v RMS norm to use the right 3n module * Updating MLP with activation sparsity * Updating DecoderBlock for Gemma 3n * Updating kv cache sharing implementation with the use of a cache buffer and refactoring some lines of code * Isolating KV Cache logic to relevant components * Fixing logic error in Gemma3nAttention.forward * Refactoring caching contributions and fixing kv_store initialization * Simplifying Configs * Remove errant self from super init call * Bug fix in the Attention module - changing self.head_dim to config.head_dim * Bug fixes in the LaurelBlock and RMS Norm super init call * removing redundant code from a merge * Adding per_layer_inputs to TextModel * Adding preprocess embeddings with altup * Adds per-layer-to-single output and a host of TODOs * Integrating altup predict with the model workflow and other minor bug fixes * Using nn.Embedding temporarily for text model * It goes forward * Minor refactor of attention sparsity and RoPE initialization * Fixing duplicate rope_scaling param bug when loading from pretrained --------- Co-authored-by: Sindhu Raghuram <sindhuraghuram@google.com> Co-authored-by: SindhuRaghuram97 <114270661+SindhuRaghuram97@users.noreply.github.com> * Normalizing on altup_num_inputs config option * Adding audio encoder config * Adds high-level components for Audio Encoder * Implement uniform reducer for Audio Encoder * Adding placeholders for Conformer components in Audio Encoder * Adding placeholders for SubSampleConvProjection components in Audio Encoder * Adding SequenceLayer component placeholders * Implementing Gemma3nAudioEncoder with nn.Sequential * Implementing Gemma3nAudioSubSampleConvProjection with nn.Sequential * Implementing Conformer model with SequenceLayers * Use OrderedDict in nn.Sequential initializers * Implements sl.Residual in Torch with nn.Sequential and OrderedDict * Adopting a base SequenceLayer class with default forward() method * Implementing sl.GatedLinearUnit in Torch * Implementing sl.Swish in Torch * Implementing sl.ReLU in Torch * Implementing sl.Scale in Torch * Removing sl.Dropout after tree-shaking * Implementing sl.RMSNorm in Torch with fake shape * Implementing sl.GroupNorm in Torch * Implementing sl.Conv2d in Torch * Implementing sl.Dense in Torch * Removing sl.Delay layers, which act as pass-throughs * Connecting shapes to configs in initializers * Removing sl.Emit * Implementing sl.ExpandDims in Torch * Adding sl.GradientClipping to Torch * Implementing sl.DenseShaped in Torch * Implementing sl.LDPA in Torch * Removing unused sl.CombinedQKVProj class * Fixing erroneous type hint * Implemnenting sl.DepthwiseConv1D in Torch * Implementing sl.MaskInvalid in Torch * Fixes for initialization * Fixes for saving weights * Removing einsums per feedback from HF staff * Removing Sequence Layers idioms from audio encoder * Fixes for reviewer comments * Converting sl.Frontend to FeatureExtractor * Updates for ConditionalGeneration.get_image_features * Adding a WIP draft of image_processing_gemma3n.py * Update modular Co-authored-by: SindhuRaghuram97 <114270661+SindhuRaghuram97@users.noreply.github.com> * Modular conversion after github suggested change * Text + image gives good results * Fixing image size preset * Draft of audio data in chat template * Removing image processing. Using SigLIP instead. * Audio input going end-to-end * Fixing dtype issues in audio encoder * x-lib formatting consistency * Adding example data * Save preprocessor_config.json from conversion script * Instrumentaiton for debugging * Additional instrumentation for preprocessing debugging * Updates to preprocessor, padding; produces correct end-to-end results on sample * Tackling configuraiton TODOs * Start of feature extractor refatcor * Adds Numpy version of USM extractor, removes Torch version and dependencies * Fixing AltUp.correct coef permute * Supporting batches of single audio segment inputs * Docstrings updates for config * In-lining audio feature extraction * Adjustments to conversion script and smoke test script --------- Co-authored-by: SindhuRaghuram97 <114270661+SindhuRaghuram97@users.noreply.github.com> Co-authored-by: Sindhu Raghuram <sindhuraghuram@google.com> Co-authored-by: pculliton <phillipculliton@gmail.com> * Gemma 3n renaming * Removing test data and utilities * Renaming test files * Gemma 3n refactor * Fix tokenizer config in conversion script * Address reviewer feedback * FeatureExtractor returns float32 by default * Adding basic tests for audio, and input name for audio encoder * Audio integration test, updates to model_id for other integration tests * Use scales for q and k norms (#26) * Update audio integration test to use HF dataset * Reviewer feedback * Expand embedding table to full vocab size in weights conversion * Mix-n-match MatFormers for Gemma 3n (#25) * Remove in-place operations (#30) * chore: removing inplace ops * remove [tensor] * n pattern * chore: reviewer feedback in AudioEncoder and AltUp * More grad clipping * Dynamo compatibility * fix: cache slicing error * chore: simplify shared kv cache slicing * chore: vision encoder rename in timm * fix: image processor do_normalize=False * fixup: style * chore: model_doc * fix: docs for code quality * chore: repo consistency * fix: RMSNorm in float as in prior Gemmas * fix: per_layer_inputs = None * chore: Gemma3nForCausalLM from Gemma3nForConditionalGeneration checkpoint * chore: repo consistency * Add initial unit tests for Gemma3nAudioFeatureExtractor (#27) * Add initial unit tests for Gemma3nAudioFeatureExtractor * Add basic unit tests for Gemma3nProcessor (#28) Co-authored-by: Douglas Reid <21148125+douglas-reid@users.noreply.github.com> * parameterize tests --------- Co-authored-by: Douglas Reid <21148125+douglas-reid@users.noreply.github.com> * chore: code style * fix: test cases * style and consistency * fix config in the test to be coherent with layer cache sharing * fix hidden states in tests and code * inits and mappings * fix modality prefixes * test order and prefixes * fix test exception * fix class order and reduce model size for faster tests * restore _checkpoint_conversion_mapping to load Caual from Conditional * fix config mapping! * fix: reviewer feedback --------- Co-authored-by: SindhuRaghuram97 <114270661+SindhuRaghuram97@users.noreply.github.com> Co-authored-by: Sindhu Raghuram <sindhuraghuram@google.com> Co-authored-by: raushan <raushan@huggingface.co> Co-authored-by: Mayank Chaturvedi <imayank@google.com> Co-authored-by: Douglas Reid <douglas-reid@users.noreply.github.com> Co-authored-by: Douglas Reid <21148125+douglas-reid@users.noreply.github.com> Co-authored-by: Xuan-Son Nguyen <thichthat@gmail.com> Co-authored-by: pculliton <phillipculliton@gmail.com> Co-authored-by: Aritra Roy Gosthipaty <aritra.born2fly@gmail.com> Co-authored-by: Cyril Vallez <cyril.vallez@gmail.com> * fix import test * add model args * auto_docstring * replace test path * consistency * skip tests for now * fix docstring for doc builder * skip unused attr --------- Co-authored-by: SindhuRaghuram97 <114270661+SindhuRaghuram97@users.noreply.github.com> Co-authored-by: Sindhu Raghuram <sindhuraghuram@google.com> Co-authored-by: raushan <raushan@huggingface.co> Co-authored-by: Mayank Chaturvedi <imayank@google.com> Co-authored-by: Douglas Reid <douglas-reid@users.noreply.github.com> Co-authored-by: Douglas Reid <21148125+douglas-reid@users.noreply.github.com> Co-authored-by: Xuan-Son Nguyen <thichthat@gmail.com> Co-authored-by: pculliton <phillipculliton@gmail.com> Co-authored-by: Aritra Roy Gosthipaty <aritra.born2fly@gmail.com> Co-authored-by: Cyril Vallez <cyril.vallez@gmail.com> Co-authored-by: Arthur <arthur.zucker@gmail.com> |
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Jaeyong Sung
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583db52bc6
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Add Dia model (#38405)
* add dia model * add tokenizer files * cleanup some stuff * brut copy paste code * rough cleanup of the modeling code * nuke some stuff * more nuking * more cleanups * updates * add mulitLayerEmbedding vectorization * nits * more modeling simplifications * updates * update rope * update rope * just fixup * update configuration files * more cleanup! * default config values * update * forgotten comma * another comma! * update, more cleanups * just more nits * more config cleanups * time for the encoder * fix * sa=mall nit * nits * n * refacto a bit * cleanup * update cv scipt * fix last issues * fix last nits * styling * small fixes * just run 1 generation * fixes * nits * fix conversion * fix * more fixes * full generate * ouf! * fixes! * updates * fix * fix cvrt * fixup * nits * delete wrong test * update * update * test tokenization * let's start changing things bit by bit - fix encoder step * removing custom generation, moving to GenerationMixin * add encoder decoder attention masks for generation * mask changes, correctness checked against ad29837 in dia repo * refactor a bit already --> next cache * too important not to push :) * minimal cleanup + more todos * make main overwrite modeling utils * add cfg filter & eos filter * add eos countdown & delay pattern * update eos countdown * add max step eos countdown * fix tests * fix some things * fix generation with testing * move cfg & eos stuff to logits processor * make RepetitionPenaltyLogitsProcessor flexible - can accept 3D scores like (batch_size, channel, vocab) * fix input_ids concatenation dimension in GenerationMixin for flexibility * Add DiaHangoverLogitsProcessor and DiaExponentialDecayLengthPenalty classes; refactor logits processing in DiaForConditionalGeneration to utilize new configurations and improve flexibility. * Add stopping criteria * refactor * move delay pattern from processor to modeling like musicgen. - add docs - change eos countdown to eos delay pattern * fix processor & fix tests * refactor types * refactor imports * format code * fix docstring to pass ci * add docstring to DiaConfig & add DiaModel to test * fix docstring * add docstring * fix some bugs * check * porting / merging results from other branch - IMPORTANT: it very likely breaks generation, the goal is to have a proper forward path first * experimental testing of left padding for first channel * whoops * Fix merge to make generation work * fix cfg filter * add position ids * add todos, break things * revert changes to generation --> we will force 2d but go 3d on custom stuff * refactor a lot, change prepare decoder ids to work with left padding (needs testing), add todos * some first fixes to get to 10. in generation * some more generation fixes / adjustment * style + rope fixes * move cfg out, simplify a few things, more todos * nit * start working on custom logit processors * nit * quick fixes * cfg top k * more refactor of logits processing, needs a decision if gen config gets the new attributes or if we move it to config or similar * lets keep changes to core code minimal, only eos scaling is questionable atm * simpler eos delay logits processor * that was for debugging :D * proof of concept rope * small fix on device mismatch * cfg fixes + delay logits max len * transformers rope * modular dia * more cleanup * keep modeling consistently 3D, generate handles 2D internally * decoder starts with bos if nothing * post processing prototype * style * lol * force sample / greedy + fixes on padding * style * fixup tokenization * nits * revert * start working on dia tests * fix a lot of tests * more test fixes * nit * more test fixes + some features to simplify code more * more cleanup * forgot that one * autodocs * small consistency fixes * fix regression * small fixes * dia feature extraction * docs * wip processor * fix processor order * processing goes brrr * transpose before * small fix * fix major bug but needs now a closer look into the custom processors esp cfg * small thing on logits * nits * simplify indices and shifts * add simpler version of padding tests back (temporarily) * add logit processor tests * starting tests on processor * fix mask application during generation * some fixes on the weights conversion * style + fixup logits order * simplify conversion * nit * remove padding tests * nits on modeling * hmm * fix tests * trigger * probably gonna be reverted, just a quick design around audio tokenizer * fixup typing * post merge + more typing * initial design for audio tokenizer * more design changes * nit * more processor tests and style related things * add to init * protect import * not sure why tbh * add another protect * more fixes * wow * it aint stopping :D * another missed type issue * ... * change design around audio tokenizer to prioritize init and go for auto - in regards to the review * change to new causal mask function + docstrings * change ternary * docs * remove todo, i dont think its essential tbh * remove pipeline as current pipelines do not fit in the current scheme, same as csm * closer to wrapping up the processor * text to audio, just for demo purposes (will likely be reverted) * check if it's this * save audio function * ensure no grad * fixes on prefixed audio, hop length is used via preprocess dac, device fixes * integration tests (tested locally on a100) + some processor utils / fixes * style * nits * another round of smaller things * docs + some fixes (generate one might be big) * msytery solved * small fix on conversion * add abstract audio tokenizer, change init check to abstract class * nits * update docs + fix some processing :D * change inheritance scheme for audio tokenizer * delete dead / unnecessary code in copied generate loop * last nits on new pipeline behavior (+ todo on tests) + style * trigger --------- Co-authored-by: Arthur Zucker <arthur.zucker@gmail.com> Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> Co-authored-by: Vasqu <antonprogamer@gmail.com> |
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Joao Gante
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1d45d90e5d
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[tests] remove TF tests (uses of require_tf) (#38944)
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* remove uses of require_tf * remove redundant import guards * this class has no tests * nits * del tf rng comment |
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eustlb
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551e48f182
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[Kyutai-STT] correct model type + model id (#39035)
* correct model type + model id * udpate doc * init fix * style !!! |
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Anton Lozhkov
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dad0e87c79
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Add SmolLM3 (#38755)
* init smollm3 * integration tests * config quirks * docs stub * rests round 2 * tests round 3 * tests round 4 * bring SWA back * config checker pls * final checkpoint * style and copies * Update src/transformers/models/smollm3/modular_smollm3.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/smollm3/modular_smollm3.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> --------- Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> |
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Marcel Ambo Ndowah
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3c1d4dfbac
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Fix grammatical error in models documentation (#39019) | ||
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Quentin Lhoest
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858f9b71a8
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Remove script datasets in tests (#38940)
* remove trust_remote_code
* again
* Revert "Skip some tests for now (#38931)"
This reverts commit
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redmoe-moutain
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7503cb9113
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[Model] add dots1 (#38143)
* add dots1 * address comments * fix * add link to dots1 doc * format --------- Co-authored-by: taishan <rgtjf1@163.com> |
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Biao Zhang
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3ef8896906
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Encoder-Decoder Gemma (#38332)
* Initial submit * Fix bugs: 1. add __init__ file 2. tied word embedding 3. support flash/flex attention 4. model saving and loading * Code refactor: * Rename encdecgemma to t5gemma. * Split attention into self- and cross-attention * Split stack into encoder and decoder * Add test cases * Add auto configuration * Update configurations. * Fix bugs related to copy and attribute checks * Fix type union * Fix merge errors * run ruff format * Run make style and update tests. * Add t5gemma model doc. * ruff and style formatting. * Add missed module config. * Add dummy checkpoint link to pass tests (need updated when real checkpoints are uplioaded.). * Update model doc. * Minor updates following Arthur's comments: * replace docstrings with auto_docstrings * remove checkpoint layers * remove deprecate_kwargs * fix rebase errors * Fix docstring issues. * fix t5gemma doc issue. * run ruff format * Updates: * split encoder-only model out * make t5gemmamodel encoder-decoder only * update token and sequence classification * update tests |
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Yuxuan Zhang
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af9870265e
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GLM-4.1V Model support (#38431)
* 20250508 Model Architecture * Update modeling_glm4v.py * Update modeling_glm4v.py * Update modeling_glm4v.py * update 1447 * 0526 * update * format * problem * update * update with only image embed diff * Final * upload * update * 1 * upload with ruff * update * update * work * 1 * 1 * update with new note * 2 * Update convert_glm4v_mgt_weights_to_hf.py * Update tokenization_auto.py * update with new format * remove rmsnrom * draft with videos * draft * update * update * fix for review problem * try to remove min_pixel * update * for test * remove timestamps * remove item * update with remove * change * update 2200 * update * Delete app.py * format * update * Update test_video_processing_glm4v.py * 1 * 2 * use new name * Update test_video_processing_glm4v.py * remove docs * change * update for image processors update * 2108 * 2128 * Update modular_glm4v.py * 1 * update some * update * rename * 1 * remove tests output * 2 * add configuration * update * Update test_video_processing_glm4v.py * fix simple forward tests * update with modular * 1 * fix more tests * fix generation test * fix beam search and init * modular changed * fix beam search in case of single-image/video. Fails if multiple visuals per text * update processor * update test * pass * fix beam search * update * param correct * Update convert_glm4v_mgt_weights_to_hf.py * 1 * Update test_modeling_glm4v.py * 4 * 2 * 2123 video process * 2 * revert * 1 * 2 * revert processing * update preprocesor * changed * 1 * update * update * 6 * update * update * update * Delete tmp.txt * config * Update video_processing_glm4v.py * apply modular correctly * move functions * fix order * update the longest_edge * style * simplify a lot * fix random order of classes * skip integration tests * correctly fix the tests * fix TP plan --------- Co-authored-by: raushan <raushan@huggingface.co> Co-authored-by: Cyril Vallez <cyril.vallez@huggingface.co> Co-authored-by: Cyril Vallez <cyril.vallez@gmail.com> |
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Marcel Ambo Ndowah
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48b6ef0238
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Add Hugging Face authentication procedure for IDEs (PyCharm, VS Code,… (#38954)
* Add Hugging Face authentication procedure for IDEs (PyCharm, VS Code, etc.) * Update quicktour.md --------- Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> |
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eustlb
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6bdd4ec952
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Add kyutai stt (#38909)
* first draft * cleaner version * udpate tests + modeling * add tests * init * udpate test_modeling_common * fix tests * csm Processor draft * convertion update * mimi cache padding convolutions draft * mimi streaming udpates * update mimi padding cache test * udpate cache padding mimi test * make style mimi * updates generate moshi asr * moshi asr integration tests (single + batched) * update tests * update conversion script * good default sliding window value * udpdate generate * update test checkpoint * nit * fix mimi * fix codec prefix * revert * revert * update config * update config * unnecessary mimi input restriction * remove delay in tokens * remove _prepare_4d_causal_attention_mask_with_cache_position and _update_causal_mask * test update * modular update * make style * nit * rename * create codec model generation config at init * remove delay * max_new_tokens/length warning * correct conv1 padding cache import for modular * nit * fix on encoder_past_key_values * convert modular * move frame_size to config * move frame_size to config * update test name * handle first token is bos * better handling of max_new_tokens * fix * fix batch size in test input prep * update docstring * convert modular * make style * make style * add feature extractor * correct modular convention name for feature_extraction file * update convertion script * doc processor * update doc * udpate init * update model type * fixes * update tests * fix * make * add doc * nit * fix * doc * auto mappings * doc * nit * convert modular * doc * nit * extend _keep_in_fp32_modules to enforce fp32 * renaming to stt * doc update + test update * doc fixes * doc fix * doc fix * fix musicgen tests * fix musicgen tests * make style * fix musicgen tests * correct frame_rate config param for mimi * update mimi test * revert update mimi test * enforce cpu test * move cache init in cache class * convert modular * docstring update * update model id * feature_extractor -> feature_extraction (SEW) * convert modular * update model id |
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Crystalcareai
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71de20b818
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Add Arcee model support (#38621)
* Add Arcee model support to transformers - Add ArceeConfig and model mappings for all task types (CausalLM, SequenceClassification, QuestionAnswering, TokenClassification) - Add auto-loading support through AutoModel, AutoConfig, and AutoTokenizer - Use LlamaTokenizer for tokenization - Add FX graph support for Arcee models - Create lazy loading module structure for Arcee * feat: update YARN scaling and RoPE validation for Arcee model * feat: add auto_docstring checkpoint config to Arcee model classes * docs: add pre-trained model weights reference to Arcee configuration files * refactor: move RoPE utilities to dedicated modeling_rope_utils module * Add comprehensive test suite for Arcee model - Add test_modeling_arcee.py following standard transformers test patterns - Include tests for all model variants (CausalLM, SequenceClassification, QuestionAnswering, TokenClassification) - Add specific test for ReLU² activation in ArceeMLP - Add RoPE scaling tests including YARN support - Follow CausalLMModelTest pattern used by similar models * Add documentation for Arcee model - Add comprehensive model documentation with usage examples - Include all model variants in autodoc - Add to table of contents in proper alphabetical order - Fixes documentation coverage for Arcee model classes * Make style/fixup * fix copyright year * Sync modular conversion * revert in legacy supported models in src/transformers/utils/fx * cleaned redundant code in modular_arcee.py * cleaned testing * removed pretraining tp * fix styles * integration testing --------- Co-authored-by: Pranav <veldurthipranav@gmail.com> Co-authored-by: Pranav <56645758+pranav4501@users.noreply.github.com> |
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casinca
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21cb353b7b
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[docs] Typos - Single GPU efficient training features (#38964)
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* Typos - corrected bf16 training argument - corrected header for SDPA * improved readability for SDPA suggested by @stevhliu Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> --------- Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> |
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Yoni Gozlan
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d29482cc91
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Add Idefics2/3 and SmolVLM Fast image processors + improvements for fast image processors (#38157)
* add working idefics2 fast and improvements for fast nested images processing * add fast image processors idefics 3 and smolvlm * cleanup tests * fic doc idefics2 * PR review and fix issues after merge * Force providing disable_grouping to group_images_by_shape * simplify group_images_by_shape * fix modular * Fix nits after review |
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Cyril Vallez
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74f5e4a1fa
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[modular] CLI allows positional arguments, and more defaults names for the optional arg (#38979)
* More defaults * Update modular_model_converter.py |
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DongKyu Kang
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2166b6b4ff
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Update blip model card (#38513)
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* Update docs/source/en/model_doc/blip.md * fix(docs/source/en/model_doc/blip.md): fix redundent typo error * fix (docs/source/en/model_doc/blip.md): modify of review contents * fix(docs/source/en/model_doc/blip.md): modify code block * Update blip.md --------- Co-authored-by: devkade <mouseku@moana-master> Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> |
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Manuel de Prada Corral
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166e823f77
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Fix custom generate from local directory (#38916)
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Fix custom generate from local directory: 1. Create parent dirs before copying files (custom_generate dir) 2. Correctly copy relative imports to the submodule file. 3. Update docs. |
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Hamza Benchekroun
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797860c68c
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feat: add flexible Liger Kernel configuration to TrainingArguments (#38911)
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* feat: add flexible Liger Kernel configuration to TrainingArguments
Add support for granular Liger Kernel configuration through a new
`liger_kernel_config` parameter in TrainingArguments. This allows users
to selectively enable/disable specific kernels (rope, swiglu, cross_entropy,
etc.) instead of the current approach that rely on default configuration.
Features:
- Add `liger_kernel_config` dict parameter to TrainingArguments
- Support selective kernel application for all supported models
- Maintain full backward compatibility with existing `use_liger_kernel` flag
Example usage:
```python
TrainingArguments(
use_liger_kernel=True,
liger_kernel_config={
"rope": True,
"swiglu": True,
"cross_entropy": False,
"fused_linear_cross_entropy": True
}
)
Closes #38905
* Address comments and update Liger section in Trainer docs
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Dhruv
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458e0b376c
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Update bamba model card (#38853)
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* Update bamba model card * Update the doc for bamba * Update docs/source/en/model_doc/bamba.md Bamba paragraph Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/model_doc/bamba.md Bamba collection url Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/model_doc/bamba.md Update Padding-Free Training to Notes heading Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/model_doc/bamba.md update examples Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/model_doc/bamba.md Update additional info Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/model_doc/bamba.md consistent casing Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/model_doc/bamba.md simplify sentences Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Include pipeline and cli examples + fix formatting * Apply suggestions from code review Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/model_doc/bamba.md update cli id * Update quantization example * Fix auto code formatter changes * Update cli command + include BambaModel * Update docs/source/en/model_doc/bamba.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> --------- Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> |
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Sam Rae
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b922b22ec2
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36978 | Fast image processor for DPT model (#37481)
* chore: ran codegen script * test: test_image_processor_properties * test: test_image_processor_from_dict_with_kwargs * test: wip - test_padding * test: test_padding * test: test_keep_aspect_ratio * wip * test * test: wip * test: wip * test: test_call_segmentation_maps, wip * chore: tidy up * test: test_call_segmentation_maps * fix: test_save_load_fast_slow * test: reduce labels * chore: make fixup * chore: rm comment * chore: tidy * chore remove comment * refactor: no need to infer channel dimesnion * refactor: encapsulate logic for preparing segmentation maps * refactor: improve readability of segmentation_map preparation * improvement: batched version of pad_image * chore: fixup * docs * chore: make quality * chore: remove unecessary comment * fix: add SemanticSegmentationMixin * feat: add post_process_depth_estimation to fast dpt image processor * chore: fix formatting * remove max_height, max_width * fix: better way of processin segmentation maps - copied from Beit Fast processor * chore: formatting + remove TODO * chore: fixup styles * chore: remove unecessary line break * chore: core review suggestion to remove autodocstring * fix: add do_reduce_labels logic + refactor - refactor preprocess logic to make it consistent with other processors - add missing reduce labels logic * refactor: remove deprecated mixin * chore: fixup * use modular for dpt + final nit changes * fix style --------- Co-authored-by: Samuel Rae <samuelrae@Samuels-Air.fritz.box> Co-authored-by: yonigozlan <yoni.gozlan@huggingface.co> |
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Ashu_kun
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c27f628e98
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Docs: Add custom fine-tuning tutorial to TrOCR model page (#38847)
* Update trocr.md Docs: add community fine‑tuning notebook link to TrOCR page * apply suggested changes from PR review Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/model_doc/trocr.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> --------- Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> |
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Matt
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508a704055
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No more Tuple, List, Dict (#38797)
* No more Tuple, List, Dict * make fixup * More style fixes * Docstring fixes with regex replacement * Trigger tests * Redo fixes after rebase * Fix copies * [test all] * update * [test all] * update * [test all] * make style after rebase * Patch the hf_argparser test * Patch the hf_argparser test * style fixes * style fixes * style fixes * Fix docstrings in Cohere test * [test all] --------- Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> |
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SohamPrabhu
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a396f4324b
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Update roc bert docs (#38835)
* Moved the sources to the right * small Changes * Some Changes to moonshine * Added the install to pipline * updated the monshine model card * Update docs/source/en/model_doc/moonshine.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/model_doc/moonshine.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/model_doc/moonshine.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/model_doc/moonshine.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Updated Documentation According to changes * Fixed the model with the commits * Changes to the roc_bert * Final Update to the branch * Adds Quantizaiton to the model * Finsihed Fixing the Roc_bert docs * Fixed Moshi * Fixed Problems * Fixed Problems * Fixed Problems * Fixed Problems * Fixed Problems * Fixed Problems * Added the install to pipline * updated the monshine model card * Update docs/source/en/model_doc/moonshine.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/model_doc/moonshine.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/model_doc/moonshine.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Updated Documentation According to changes * Fixed the model with the commits * Fixed the problems * Final Fix * Final Fix * Final Fix * Update roc_bert.md --------- Co-authored-by: Your Name <sohamprabhu@Mac.fios-router.home> Co-authored-by: Your Name <sohamprabhu@Sohams-MacBook-Air.local> Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> |
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Md. Muhaimin Rahman
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3ae52cc312
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Update CvT documentation with improved usage examples and additional … (#38731)
* Update CvT documentation with improved usage examples and additional notes * initial update * cvt * Update docs/source/en/model_doc/cvt.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update cvt.md --------- Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> |
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StevenBucaille
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e5a9ce48f7
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Add LightGlue model (#31718)
* init * chore: various changes to LightGlue * chore: various changes to LightGlue * chore: various changes to LightGlue * chore: various changes to LightGlue * Fixed dynamo bug and image padding tests * refactor: applied refactoring changes from SuperGlue's concat, batch and stack functions to LightGlue file * tests: removed sdpa support and changed expected values * chore: added some docs and refactoring * chore: fixed copy to superpoint.image_processing_superpoint.convert_to_grayscale * feat: adding batch implementation * feat: added validation for preprocess and post process method to LightGlueImageProcessor * chore: changed convert_lightglue_to_hf script to comply with new standard * chore: changed lightglue test values to match new lightglue config pushed to hub * chore: simplified convert_lightglue_to_hf conversion map * feat: adding batching implementation * chore: make style * feat: added threshold to post_process_keypoint_matching method * fix: added missing instructions that turns keypoints back to absolute coordinate before matching forward * fix: added typehint and docs * chore: make style * [run-slow] lightglue * fix: add matches different from -1 to compute valid matches in post_process_keypoint_matching * tests: added CUDA proof tests similar to SuperGlue * chore: various changes to modeling_lightglue.py - Added "Copies from" statements for copied functions from modeling_superglue.py - Added missing docstrings - Removed unused functions or classes - Removed unnecessary statements - Added missing typehints - Added comments to the main forward method * chore: various changes to convert_lightglue_to_hf.py - Added model saving - Added model reloading * chore: fixed imports in lightglue files * [run-slow] lightglue * chore: make style * [run-slow] lightglue * Apply suggestions from code review Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com> * [run-slow] lightglue * chore: Applied some suggestions from review - Added missing typehints - Refactor "cuda" to device variable - Variable renaming - LightGlue output order changed - Make style * fix: added missing grayscale argument in image processor in case use of SuperPoint keypoint detector * fix: changed lightglue HF repo to lightglue_superpoint with grayscale default to True * refactor: make keypoints `(batch_size, num_keypoints, keypoint_dim)` through forward and unsqueeze only before attention layer * refactor: refactor do_layer_keypoint_pruning * tests: added tests with no early stop and keypoint pruning * refactor: various refactoring to modeling_lightglue.py - Removed unused functions - Renamed variables for consistency - Added comments for clarity - Set methods to private in LightGlueForKeypointMatching - Replaced tensor initialization to list then concatenation - Used more pythonic list comprehension for repetitive instructions * refactor: added comments and renamed filter_matches to get_matches_from_scores * tests: added copied from statement with superglue tests * docs: added comment to prepare_keypoint_matching_output function in tests * [run-slow] lightglue * refactor: reordered _concat_early_stopped_outputs in LightGlue class * [run-slow] lightglue * docs: added lightglue.md model doc * docs: added Optional typehint to LightGlueKeypointMatchingOutput * chore: removed pad_images function * chore: set do_grayscale default value to True in LightGlueImageProcessor * Apply suggestions from code review Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com> * Apply suggestions from code review Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com> * docs: added missing LightGlueConfig typehint in nn.Module __init__ methods * docs: removed unnecessary code in docs * docs: import SuperPointConfig only from a TYPE_CHECKING context * chore: use PretrainedConfig arguments `num_hidden_layers` and `num_attention_heads` instead of `num_layers` and `num_heads` * chore: added organization as arg in convert_lightglue_to_hf.py script * refactor: set device variable * chore: added "gelu" in LightGlueConfig as hidden_act parameter * docs: added comments to reshape.flip.reshape instruction to perform cross attention * refactor: used batched inference for keypoint detector forward pass * fix: added fix for SDPA tests * docs: fixed docstring for LightGlueImageProcessor * [run-slow] lightglue * refactor: removed unused line * refactor: added missing arguments in LightGlueConfig init method * docs: added missing LightGlueConfig typehint in init methods * refactor: added checkpoint url as default variable to verify models output only if it is the default url * fix: moved print message inside if statement * fix: added log assignment r removal in convert script * fix: got rid of confidence_thresholds as registered buffers * refactor: applied suggestions from SuperGlue PR * docs: changed copyright to 2025 * refactor: modular LightGlue * fix: removed unnecessary import * feat: added plot_keypoint_matching method to LightGlueImageProcessor with matplotlib soft dependency * fix: added missing import error for matplotlib * Updated convert script to push on ETH org * fix: added missing licence * fix: make fix-copies * refactor: use cohere apply_rotary_pos_emb function * fix: update model references to use ETH-CVG/lightglue_superpoint * refactor: add and use intermediate_size attribute in config to inherit CLIPMLP for LightGlueMLP * refactor: explicit variables instead of slicing * refactor: use can_return_tuple decorator in LightGlue model * fix: make fix-copies * docs: Update model references in `lightglue.md` to use the correct pretrained model from ETH-CVG * Refactor LightGlue configuration and processing classes - Updated type hints for `keypoint_detector_config` in `LightGlueConfig` to use `SuperPointConfig` directly. - Changed `size` parameter in `LightGlueImageProcessor` to be optional. - Modified `position_embeddings` in `LightGlueAttention` and `LightGlueAttentionBlock` to be optional tuples. - Cleaned up import statements across multiple files for better readability and consistency. * refactor: Update LightGlue configuration to enforce eager attention implementation - Added `attn_implementation="eager"` to `keypoint_detector_config` in `LightGlueConfig` and `LightGlueAttention` classes. - Removed unnecessary logging related to attention implementation fallback. - Cleaned up import statements for better readability. * refactor: renamed message into attention_output * fix: ensure device compatibility in LightGlueMatchAssignmentLayer descriptor normalization - Updated the normalization of `m_descriptors` to use the correct device for the tensor, ensuring compatibility across different hardware setups. * refactor: removed Conv layers from init_weights since LightGlue doesn't have any * refactor: replace add_start_docstrings with auto_docstring in LightGlue models - Updated LightGlue model classes to utilize the new auto_docstring utility for automatic documentation generation. - Removed legacy docstring handling to streamline the code and improve maintainability. * refactor: simplify LightGlue image processing tests by inheriting from SuperGlue - Refactored `LightGlueImageProcessingTester` and `LightGlueImageProcessingTest` to inherit from their SuperGlue counterparts, reducing code duplication. - Removed redundant methods and properties, streamlining the test setup and improving maintainability. * test: forced eager attention implementation to LightGlue model tests - Updated `LightGlueModelTester` to include `attn_implementation="eager"` in the model configuration. - This change aligns the test setup with the recent updates in LightGlue configuration for eager attention. * refactor: update LightGlue model references * fix: import error * test: enhance LightGlue image processing tests with setup method - Added a setup method in `LightGlueImageProcessingTest` to initialize `LightGlueImageProcessingTester`. - Included a docstring for `LightGlueImageProcessingTester` to clarify its purpose. * refactor: added LightGlue image processing implementation to modular file * refactor: moved attention blocks into the transformer layer * fix: added missing import * fix: added missing import in __all__ variable * doc: added comment about enforcing eager attention because of SuperPoint * refactor: added SuperPoint eager attention comment and moved functions to the closest they are used --------- Co-authored-by: Steven Bucaille <steven.bucaille@buawei.com> Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com> |
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Dhruv
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e61160c5db
|
Remove merge conflict artifacts in Albert model doc (#38849)
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Vanshu
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64e9b049d9
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Updated aya_vision.md (#38749)
* Update aya_vision.md * Suggested changes made to aya_vision.md * Quantization Example added - aya_vision.md * Polished - aya_vision.md * Update aya_vision.md --------- Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> |
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Drew Ross
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18c7f32daa
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Fix broken tag in Longformer model card (#38828) | ||
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VolodymyrBg
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b44b04ee9a
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Fix broken notebooks link in Italian training docs (#38834)
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SOUVIK CHAND [ZD]
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d5d007a1a0
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Updated Albert model Card (#37753)
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* Updated Albert model Card * Update docs/source/en/model_doc/albert.md added the quotes in <hfoption id="Pipeline"> Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/model_doc/albert.md updated checkpoints Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/model_doc/albert.md changed !Tips description Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/model_doc/albert.md updated text Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/model_doc/albert.md updated transformer-cli implementation Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/model_doc/albert.md changed text Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/model_doc/albert.md removed repeated description Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update albert.md removed lines * Update albert.md updated pipeline code * Update albert.md updated auto model code, removed quantization as model size is not large, removed the attention visualizer part * Update docs/source/en/model_doc/albert.md updated notes Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update albert.md reduced a repeating point in notes * Update docs/source/en/model_doc/albert.md updated transformer-CLI Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/model_doc/albert.md removed extra notes Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> --------- Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> |
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Sunil Reddy
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443aafd3d6
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[docs] updated roberta model card (#38777)
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* updated roberta model card * fixes suggested after reviewing --------- Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> |