- 22 May, 2024 1 commit
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Arthur authored
* update ruff version * fix research projects * Empty * Fix errors --------- Co-authored-by:Lysandre <lysandre@huggingface.co>
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- 17 May, 2024 1 commit
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Arthur authored
* update release script * update release script
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- 16 May, 2024 1 commit
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hyenal authored
remove blank line (+1 squashed commit) Squashed commits: [24ccd2061] [run-slow]vit_msn,vision_encoder_decoder (+24 squashed commits) Squashed commits: [08bd27e7a] [run-slow]vit_msn,vision_encoder_decoder [ec96a8db3] [run-slow]vit_msn [ead817eca] fix vit msn multi gpu [d12cdc8fd] [run-slow]audio_spectrogram_transformer,deit,vision_encoder_decoder,vision_text_dual_encoder,vit,vit_hybrid,vit_mae,vit_msn,videomae,yolos [3fdbfa88f] doc [a3ff33e4a] finish implementation [e20b7b7fb] Update test_modeling_common.py [e290c5810] Update test_modeling_flax_common.py [d3af86f46] comment [ff7dd32d8] more comments [59b137889] suggestion [7e2ba6d67] attn_implementation as attribute of the class [fe66ab71f] minor [38642b568] Apply suggestions from code review Accept comments Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> [22cde7d52] Update tests/test_modeling_common.py Co-authored-by:
Liubov Yaronskaya <luba.yaronskaya@gmail.com>
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- 15 May, 2024 2 commits
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amyeroberts authored
* Correctly set the moel name for the doc file * Fix up
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Lysandre Debut authored
* Adds support for loading GGUF files Co-authored-by:
Younes Belkada <younesbelkada@gmail.com> Co-authored-by:
99991 <99991@users.noreply.github.com> * add q2_k q3_k q5_k support from @99991 * fix tests * Update doc * Style * Docs * fix CI * Update docs/source/en/gguf.md * Update docs/source/en/gguf.md * Compute merges * change logic * add comment for clarity * add comment for clarity * Update src/transformers/models/auto/tokenization_auto.py Co-authored-by:
Younes Belkada <49240599+younesbelkada@users.noreply.github.com> Co-authored-by:
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- 13 May, 2024 2 commits
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amyeroberts authored
* Add utility for finding candidate models for deprecation * Update model init * Make into configurable script * Fix path * Add sorting of base object alphabetically * Tidy * Refactor __init__ alpha ordering * Update script with logging * fix import * Fix logger * Fix logger * Get config file before moving files * Take models from CLI * Split models into lines to make easier to feed to deprecate_models script * Update * Use posix path * Print instead * Add example in module docstring * Fix up * Add clarifying comments; add models to DEPRECATE_MODELS * Address PR comments * Don't update relative paths on the same level
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Yih-Dar authored
* update * update * update * update * update * update * update * update * Update utils/notification_service.py Co-authored-by:
ydshieh <ydshieh@users.noreply.github.com> Co-authored-by:
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- 09 May, 2024 1 commit
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Omar Sanseviero authored
* Update CodeLlama references * Update slow_documentation_tests.txt * Update slow_documentation_tests.txt
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- 07 May, 2024 3 commits
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Yih-Dar authored
* rename * update --------- Co-authored-by: -
Yih-Dar authored
fix Co-authored-by: -
Aymeric Roucher authored
* Create CodeAgent and ReactAgent * Fix formatting errors * Update documentation for agents * Add custom errors, improve logging * Support variable usage in ReactAgent * add messages * Add message passing format * Create React Code Agent * Update * Refactoring * Fix errors * Improve python interpreter * Only non-tensor inputs should be sent to device * Calculator tool slight refactor * Improve docstrings * Refactor * Fix tests * Fix more tests * Fix even more tests * Fix tests by replacing output and input types * Fix operand type issue * two small fixes * EM TTS * Fix agent running type errors * Change text to speech tests to allow changed outputs * Update doc with new agent types * Improve code interpreter * If max iterations reached, provide a real answer instead of an error * Add edge case in interpreter * Add safe imports to the interpreter * Interpreter tweaks: tuples and listcomp * Make style * Make quality * Add dictcomp to interpreter * Rename ReactJSONAgent to ReactJsonAgent * Misc changes * ToolCollection * Rename agent's logger to self.logger * Add while loops to interpreter * Update doc with new tools. still need to mention collections * Add collections to the doc * Small fixes on logs and interpretor * Fix toolbox return type * Docs + fixup * Skip doctests * Correct prompts with improved examples and formatting * Update prompt * Remove outdated docs * Change agent to accept Toolbox object for tools * Remove calculator tool * Propagate removal of calculator in doc * Fix 2 failing workflows * Simplify additional argument passing * AgentType audio * Minor changes: function name, types * Remove calculator tests * Fix test * Fix torch requirement * Fix final answer tests * Style fixes * Fix tests * Update docstrings with calculator removal * Small type hint fixes * Update tests/agents/test_translation.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update tests/agents/test_python_interpreter.py Co-authored-by:
Cyril Kondratenko <kkn1993@gmail.com> Co-authored-by:
Lysandre <lysandre.debut@reseau.eseo.fr> Co-authored-by:
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- 03 May, 2024 1 commit
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Yih-Dar authored
update Co-authored-by:
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- 30 Apr, 2024 1 commit
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Yih-Dar authored
* More general PR slow CI * Update utils/pr_slow_ci_models.py Co-authored-by:
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- 25 Apr, 2024 1 commit
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amyeroberts authored
* Add utility for finding candidate models for deprecation * Better model filtering * Update * Add warning tip * Fix up * Review comments * Filter requests based on tags * Add copyright header
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- 24 Apr, 2024 7 commits
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Yih-Dar authored
* better names * run better names * update * update --------- Co-authored-by: -
Yih-Dar authored
fix Co-authored-by: -
Arthur authored
* nuke * add co-author * add co-author * update card * fixup and fix copies to please our ci * nit fixup * super small nits * remove tokenizer_path from call to `write_model` * always safe serialize by default --------- Co-authored-by:
pcuenca <pcuenca@users.noreply.github.com> Co-authored-by:
xenova <xenova@users.noreply.github.com>
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Yih-Dar authored
* You should not pass Co-authored-by:
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Lysandre Debut authored
Remove mentions of models in the READMEs and link to the documentation page in which they are featured. (#30420) * REAMDEs * REAMDEs v2
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Lysandre Debut authored
* Remove add-new-model in favor of add-new-model-like * nits
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Lysandre Debut authored
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- 23 Apr, 2024 1 commit
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Matt authored
* Remove old TF port guide * repo-consistency * Remove some translations as well for consistency * Remove some translations as well for consistency
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- 19 Apr, 2024 2 commits
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Jo茫o David authored
* Duplicate swiftformer * Convert SwiftFormerPatchEmbedding * Convert SwiftFormerEmbeddings * Convert TFSwiftFormerMlp * Convert TFSwiftFormerConvEncoder * Convert TFSwiftFormerLocalRepresentation * convert TFSwiftFormerEncoderBlock * Convert SwiftFormerStage * Convert SwiftFormerEncoder * Add TFSWiftFormerPreTrainedModel * Convert SwiftFormerForImageClassification * Add kwargs and start drop path * Fix syntax * Change Model class name * Add TFSwiftFormer to __init__ * Duplicate test_modeling_swiftformer * First test conversions * Change require_torch to require_tf * Add exports to swiftformer __init__ * Add TFSwiftFormerModel wrapper * Fix __init__ and run black * Remove docstring from MainLayer, fix padding * Use keras.layers.Activation on keras.Sequential * Fix swiftformer exports * Fix activation layer from config * Remove post_inits * Use tf.keras.layers.ZeroPadding2D * Convert torch normalize * Change tf test input shape * Fix softmax and reduce_sum * Convert expand_dims and repeat * Add missing reshape and tranpose * Simplify TFSwiftFormerEncoderBlock.call * Fix mismatch in patch embeddings * Fix expected output shape to match channels last * Fix swiftformer typo * Disable test_onnx * Fix TFSwiftFormerForImageClassification call * Add unpack inputs * Convert flatten(2).mean(-1) * Change vision dummy inputs (to be reviewed) * Change test_forward_signature to use .call * Fix @unpack_inputs * Set return_tensors="tf" and rename class * Rename wrongly named patch_embeddings layer * Add serving_output and change dummy_input shape * Make dimensions BCHW and transpose inside embedding layer * Change SwiftFormerEncoderBlock * Fix ruff problems * Add image size to swiftformer config * Change tranpose to MainLayer and use -1 for reshape * Remove serving_outputs and dummy_inputs * Remove test_initialization test from tf model * Make Sequential component a separate layer * Fix layers' names * Tranpose encoder outputs * Fix tests and check if hidden states is not None * Fix TFSwiftFormerForImageClassification * Run make fixup * Run make fix-copies * Update modeling_tf_auto * Update docs * Fix modeling auto mapping * Update modelint_tf_swiftformer docs * Fill image_size doc and type * Add reduction=None to loss computation * Update docs * make style * Debug: Delete the tip to see if that changes anything * Re-add tip * Remove add_code_sample_docstrings * Remove unused import * Get the debug to actually tell us the problem it has with the docs * Try a substitution to match the PyTorch file? * Add swiftformer to ignore list * Add build() methods * Update copyright year Co-authored-by:
Matt <Rocketknight1@users.noreply.github.com> * Raise error if drop_path_rate > 0.0 * Apply suggestions from code review Replace (self.dim), with self.dim, Co-authored-by:
Matt <rocketknight1@gmail.com> Co-authored-by:
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Lysandre Debut authored
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- 18 Apr, 2024 1 commit
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tomeras91 authored
* Add jamba arch * apply "make fix-copies" changes * fix link to model in JambaConfig docstring * Add n_ctx in modeling file because repo-consistency wants that * Add jamba to flash attention and sdpa documentation * mamba dt_proj quant fix now works for LoRA as well * override test_left_padding_compatibility and use a more permissive tolerance. left padding numerical difference are accentuated by mamba layers * add jamba to tokenization auto * fix comments of shape (PR #24 in the model page: https://huggingface.co/ai21labs/Jamba-v0.1/discussions/24) * simple PR fixes * remove unnecessary kwargs from JambaAttentionDecoderLayer and JambaMambaDecoderLayer * remove the LoRA hack for the mamba dt_proj bias. It was solved in huggingface/peft#1530 (https://github.com/huggingface/peft/pull/1530) * Add copied comment on JambaMLP (it's the same as MixtralMLP) * remove padding_mask warnings. It's not supported anymore * fix docstring. Float instead of int * A few more minor PR fixes * (1) lowercase names for mamba layernorms (2) remove _apply_inner_layernorms and do it directly in the forward pass * Return None attention weights from mamba layers. Append to all attentions only if not None. * remove some leftover jamba archive lists * Better separation between expert vs non-expert layers. non-expert layers return None as router_logits, and it is not concatenated to all_router_logits returned from JambaModel * no need to take router_logits at config.expert_layer_offset anymore. result.router_logits now holds results only for expert layers * Add Jamba paper on READMEs * (1) rename n_ctx -> max_position_embeddings (2) don't use it in the modeling file since it's not needed (set it as an exception to check_config_attributes) * Add copied from comment * remove the code path for apply_inner_layernorms=False. Jamba always has the inner mamba layernorms * clearer docstring for _convert_to_standard_cache * style fixes * Change calc_logits_for_entire_prompt (bool) to num_logits_to_keep (int). Adapt assisted decoding code tp use it. Also small change in low memory beam search decoding path to support this new int value in model_inputs * rename test so it still overrides what its meant to override * draft * oups * nit * remove more complexe logic * fix names used in config * fix fix fix * style * fix some more failing tests * generate did not init the cache
馃檭 * more small nits * typo * config.mamba_expand * config.hidden_size for the intermediate size of the mamba shapes * fix init of pkv with torch.tensor() * empty tensor * fix some init issues * stupid changes required by generate because it does not even support it's own DynamicCache class * more fixes * fix general assisted gen cache_position bug * tests passing * Add offsets and periods as SPECIAL_CASES_TO_ALLOW in check_config_attributes.py * fix reorder_cache to reorder mamba states and override some more functions in HybridMambaAttentionDynamicCache * no need to override test_past_key_values_format() and _check_past_key_values_for_generate() in tests anymore * fix docstrings and typehints for past_key_values * style fixes * fix docs * change typehint due to copy from Mixtral * forgot import * import order * Add configuration_jamba and modeling_jamba to not_doctested because the model is too big to download (in docstring of JambaForCausalLM.forward) * Add integration test with tiny tandom Jamba model on hub * fix flash attention cache shapes * bring back forgotten hidden states * rename HybridMambaAttentionDynamicCache.seqlen_offset to has_previous_state (and make bool) and bugfix - it should be set to True after a finished forward pass of the entire model * align integration test after modeling fixes * bugfix - mamba can use precomputed states only of forward pass is on a single token * bugfix - mamba can use precomputed states only if they match the batch size * typo * remove making _prepare_4d_causal_attention_mask a leaf function * stop using past_seq_len.get_seq_length(). Use cache positions instead. Adjust test (test_decoder_model_past_with_large_inputs) accordingly --------- Co-authored-by:Arthur Zucker <arthur.zucker@gmail.com> Co-authored-by:
Joao Gante <joao@huggingface.co>
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- 16 Apr, 2024 2 commits
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Yih-Dar authored
fix Co-authored-by: -
Yih-Dar authored
* fix * update * update * fix --------- Co-authored-by:
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- 15 Apr, 2024 4 commits
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amyeroberts authored
* Initial add model additions * Test * All weights loading * Can perform full forward pass * Local and remote the same * Matching local and remote * Fixup * Idefics2Model importable; fixup docstrings * Don't skip by default * Remove deprecated use_resampler arg * Remove self.config * DecoupledLinear takes config * Tidy up * Enable eager attention and tidy up * Most tests passing * Update for batch of processed images * Add image processor * Update doc pages * Update conversion script * Remove erroneous breakpoint * Remove accidendtal spelling change * Update to reflect changes on hub - make generate work * Fix up * Image processor tests * Update tests * Add a processor * Add a processor * Update convert script * Update modeling file - remove fixmes * Bug fix * Add processing test * Use processor * Fix up * Update src/transformers/models/idefics2/modeling_idefics2.py Co-authored-by:
Victor SANH <victorsanh@gmail.com> * Update src/transformers/models/idefics2/modeling_idefics2.py Co-authored-by:
Pablo Montalvo <39954772+molbap@users.noreply.github.com> Co-authored-by:
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Yih-Dar authored
update Co-authored-by: -
Yih-Dar authored
* fix * fix --------- Co-authored-by: -
Yih-Dar authored
* fix * update * fix * update * fix --------- Co-authored-by:
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- 12 Apr, 2024 1 commit
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Younes Belkada authored
ENH: [`CI`] Add new workflow to run slow tests of important models on push main if they are modified (#29235) * v1 * v1 * more changes * more models * add more markers * swtich to A10 * use cache * Update .github/workflows/push-important-models.yml * Update .github/workflows/push-important-models.yml * Update modeling_llama.py * test * test * another test * test * test * attempt to fix * fix * try automatic tagging * fix * alternative approach for collecting * fix * fix * fix * test * fix * fix * test * revert some changes * fix * fix * fix * final push * fix * revert * test new slack message * oops * Update send-slack.yml * test * test re-usable workflow in steps * Update action.yml * test * another test * test * another test * test * another test * another test (hopefully last one) * attempt to fix * allez * removing comma * test * another test * attempt * test * test * test push * test * test * another test * test * make it better * fix commas * valid json * test * another test * test * final push * test * final push * more customizable messages * test * push * oops * another test * another test * missing indentation * more tweaks * more tweaks * another test * another test * tests * final push * use global variables instead * Update .github/workflows/push-important-models.yml * Apply suggestions from code review Co-authored-by:
Yih-Dar <2521628+ydshieh@users.noreply.github.com> Co-authored-by:
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- 10 Apr, 2024 1 commit
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Arthur authored
* Fork. * RecurrentGemma initial commit. * Updating __init__.py. * Minor modification to how we initialize the cache. Changing how the config specifies the architecture. * Reformat code to 4 spaces. Fixed a few typos. * Fixed the forward pass. Still unclear on the cache? * Fixed the RecurrentGemmaForCausalLM * Minor comment that we might not need attention_mask and output_attention arguments. * Now cache should work as well. * Adding a temporary example to check whether the model generation works. * Adding the tests and updating imports. * Adding the example file missing in the previous commit. * First working example. * Removing .gitignore and reverting parts of __init__. * Re-add .gitignore. * Addressing comments for configuration. * Move mask creation to `_prepare_inputs_for_generation`. * First try at integration tests: 1. AttributeError: 'GriffinCausalLMOutput' object has no attribute 'attentions'. 2. `cache_position` not passed * Transfoering between machines. * Running normal tests. * Minor fix. * More fixes. * Addressing more comments. * Minor fixes. * first stab at cleanup * more refactoring * fix copies and else * renaming and get init to work * fix causal mask creation * update * nit * fix a hell lot of things * updates * update conversion script * make all keys importable * nits * add auto mappings * properly convert ffw_up and down * add scaling * fix generations * for recurrent dtype * update * fix going beyong window * fixup * add missing files * current updates to remove last einops * finish modeling refactor * TADA * fix compile * fix most failing testt ? ? * update tests * refactor and update * update * nits, fixup and update tests * more fixup * nits * fix imports * test format * fixups * nits * tuple typing * fix code quality * add model card * fix doc * skip most generation tests * nits * style * doc fixes * fix pr and check_copies? * last nit * oupsy * Apply suggestions from code review Co-authored-by:
Lysandre Debut <hi@lysand.re> * update * Update src/transformers/models/recurrent_gemma/convert_recurrent_gemma_to_hf.py Co-authored-by:
Aleksandar Botev <botev@google.com> Co-authored-by:
Leonard Berrada <lberrada@users.noreply.github.com> Co-authored-by:
anushanf <anushanf@google.com> Co-authored-by:
botev <botevmg@gmail.com> Co-authored-by:
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- 09 Apr, 2024 1 commit
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Marc Sun authored
* revert back to torch 2.1.1 * run test * switch to torch 2.2.1 * udapte dockerfile * fix awq tests * fix test * run quanto tests * update tests * split quantization tests * fix * fix again * final fix * fix report artifact * build docker again * Revert "build docker again" This reverts commit 399a5f9d9308da071d79034f238c719de0f3532e. * debug * revert * style * new notification system * testing notfication * rebuild docker * fix_prev_ci_results * typo * remove warning * fix typo * fix artifact name * debug * issue fixed * debug again * fix * fix time * test notif with faling test * typo * issues again * final fix ? * run all quantization tests again * remove name to clear space * revert modfiication done on workflow * fix * build docker * build only quant docker * fix quantization ci * fix * fix report * better quantization_matrix * add print * revert to the basic one
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- 05 Apr, 2024 3 commits
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Yih-Dar authored
* separate jobs * separate jobs * use channel name directly instead of ID * use channel name directly instead of ID * use channel name directly instead of ID --------- Co-authored-by: -
Yih-Dar authored
* fix * fix --------- Co-authored-by: -
Yih-Dar authored
Add whisper Co-authored-by:
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- 01 Apr, 2024 1 commit
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Arthur authored
* fix copies * nit * style * Update utils/check_copies.py
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- 28 Mar, 2024 1 commit
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Arthur authored
* add some help * style
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- 27 Mar, 2024 1 commit
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Bo Zheng authored
* add support for qwen2 MoE models * update docs * add support for qwen2 MoE models * update docs * update model name & test * update readme * update class names & readme & model_doc of Qwen2MoE. * update architecture name * fix qwen2_moe tests * use Qwen2Tokenizer instead of Qwen2MoeTokenizer * update modeling_qwen2_moe.py * fix model architecture * fix qwen2_moe tests * use Qwen2Tokenizer instead of Qwen2MoeTokenizer * update modeling_qwen2_moe.py * fix model architecture * fix style * fix test when there are sparse and non sparse layers * fixup * Update README.md Co-authored-by:
bozheng-hit <dsoul0621@gmail.com> Co-authored-by:
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