- 02 Feb, 2024 1 commit
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Klaus Hipp authored
* Fix typos and grammar mistakes in docs and examples * Fix typos in docstrings and comments * Fix spelling of `tokenizer` in model tests * Remove erroneous spaces in decorators * Remove extra spaces in Markdown link texts
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- 01 Feb, 2024 1 commit
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JB (Don) authored
* Adding [T5/MT5/UMT5]ForTokenClassification * Add auto mappings for T5ForTokenClassification and variants * Adding ForTokenClassification to the list of models * Adding attention_mask param to the T5ForTokenClassification test * Remove outdated comment in test * Adding EncoderOnly and Token Classification tests for MT5 and UMT5 * Fix typo in umt5 string * Add tests for all the existing MT5 models * Fix wrong comment in dependency_versions_table * Reverting change to common test for _keys_to_ignore_on_load_missing The test is correctly picking up redundant keys in _keys_to_ignore_on_load_missing. * Removing _keys_to_ignore_on_missing from MT5 since the key is not used in the model * Add fix-copies to MT5ModelTest
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- 31 Jan, 2024 2 commits
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Kian Sierra McGettigan authored
* direct copy from llama work * mistral modules forward pass working * flax mistral forward pass with sliding window * added tests * added layer collection approach * Revert "added layer collection approach" This reverts commit 0e2905bf2236ec323163fc1a9f0c016b21aa8b8f. * Revert "Revert "added layer collection approach"" This reverts commit fb17b6187ac5d16da7c461e1130514dc3d137a43. * fixed attention outputs * added mistral to init and auto * fixed import name * fixed layernorm weight dtype * freeze initialized weights * make sure conversion consideres bfloat16 * added backend * added docstrings * added cache * fixed sliding window causal mask * passes cache tests * passed all tests * applied make style * removed commented out code * applied fix-copies ignored other model changes * applied make fix-copies * removed unused functions * passed generation integration test * slow tests pass * fixed slow tests * changed default dtype from jax.numpy.float32 to float32 for docstring check * skip cache test for FlaxMistralForSequenceClassification since if pad_token_id in input_ids it doesn't score previous input_ids * updated checkpoint since from_pt not included * applied black style * removed unused args * Applied styling and fixup * changed checkpoint for doc back * fixed rf after adding it to hf hub * Add dummy ckpt * applied styling * added tokenizer to new ckpt * fixed slice format * fix init and slice * changed ref for placeholder TODO * added copies from Llama * applied styling * applied fix-copies * fixed docs * update weight dtype reconversion for sharded weights * removed Nullable input ids * Removed unnecessary output attentions in Module * added embedding weight initialziation * removed unused past_key_values * fixed deterministic * Fixed RMS Norm and added copied from * removed input_embeds * applied make style * removed nullable input ids from sequence classification model * added copied from GPTJ * added copied from Llama on FlaxMistralDecoderLayer * added copied from to FlaxMistralPreTrainedModel methods * fix test deprecation warning * freeze gpt neox random_params and fix copies * applied make style * fixed doc issue * skipped docstring test to allign # copied from * applied make style * removed FlaxMistralForSequenceClassification * removed unused padding_idx * removed more sequence classification * removed sequence classification * applied styling and consistency * added copied from in tests * removed sequence classification test logic * applied styling * applied make style * removed freeze and fixed copies * undo test change * changed repeat_kv to tile * fixed to key value groups * updated copyright year * split casual_mask * empty to rerun failed pt_flax_equivalence test FlaxWav2Vec2ModelTest * went back to 2023 for tests_pr_documentation_tests * went back to 2024 * changed tile to repeat * applied make style * empty for retry on Wav2Vec2
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Patrick von Platen authored
* up * Fix more * Correct more * Fix more tests * fix fast tests * Fix more * fix more * push all files * finish all * make style * Fix timestamp wrap * make style * make style * up * up * up * Fix lang detection behavior * Fix lang detection behavior * Add lang detection test * Fix lang detection behavior * make style * Update src/transformers/models/whisper/generation_whisper.py Co-authored-by:
Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * better error message * make style tests * add warning --------- Co-authored-by:
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- 30 Jan, 2024 2 commits
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Matt authored
* Port core files + ESM (because ESM code is odd) * Search-replace in modelling code * Fix up transfo_xl as well * Fix other core files + tests (still need to add correct import to tests) * Fix cookiecutter * make fixup, fix imports in some more core files * Auto-add imports to tests * Cleanup, add imports to sagemaker tests * Use correct exception for importing tf_keras * Fixes in modeling_tf_utils * make fixup * Correct version parsing code * Ensure the pipeline tests correctly revert to float32 after each test * Ensure the pipeline tests correctly revert to float32 after each test * More tf.keras -> keras * Add dtype cast * Better imports of tf_keras * Add a cast for tf.assign, just in case * Fix callback imports
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amyeroberts authored
* Enable instantiating model with pretrained backbone weights * Remove doc updates until changes made in modeling code * Use load_backbone instead * Add use_timm_backbone to the model configs * Add missing imports and arguments * Update docstrings * Make sure test is properly configured * Include recent DPT updates
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- 29 Jan, 2024 1 commit
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Wesley Gifford authored
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馃悰 fix .max bug * remove prediction_length from regression output dimensions * fix parameter names, fix output names, update tests * ensure shape for PatchTST * ensure output shape for PatchTSMixer * update model, batch, and expected for regression distribution test * update test expected Signed-off-by:Wesley M. Gifford <wmgifford@us.ibm.com> * Update tests/models/patchtst/test_modeling_patchtst.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/patchtst/test_modeling_patchtst.py Co-authored-by:
Kashif Rasul <kashif.rasul@gmail.com> Co-authored-by:
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- 25 Jan, 2024 1 commit
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NielsRogge authored
* First draft * More improvements * More improvements * More improvements * More improvements * Add docs * Remove file * Add copied from * Address comments * Address comments * Address comments * Fix style * Update docs * Convert all checkpoints, add integration test * Rename checkpoints * Add pretrained backbone attributes * Fix default config * Address comment * Add figure to docs * Fix bug thanks to @xenova * Update conversion script * Fix integration test
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- 24 Jan, 2024 1 commit
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Khai Mai authored
* fix the function load_balancing_loss_func in Mixtral_Moe to include attention_mask * format code using black and ruff * skip computing mask if attention_mask=None * add tests for load balancing loss Mixtral-Moe * fix assert loss is different in mixtral_test * fix pad_leng * use assertNotAlmostEqual and print to debug * remove print for debug * minor updates * reduce rtol and atol
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- 23 Jan, 2024 1 commit
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amyeroberts authored
* Enable instantiating model with pretrained backbone weights * Update tests so backbone checkpoint isn't passed in * Remove doc updates until changes made in modeling code * Clarify pretrained import * Update configs - docs and validation check * Update src/transformers/utils/backbone_utils.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Clarify exception message * Update config init in tests * Add test for when use_timm_backbone=True * Small test updates --------- Co-authored-by:
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- 21 Jan, 2024 1 commit
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Arthur authored
* fix dtype issue * add a test * update copied from mentions * nits * fixup * fix copies * Apply suggestions from code review
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- 19 Jan, 2024 4 commits
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Sangbum Daniel Choi authored
* [DETA] fix freeze/unfreeze function * Update src/transformers/models/deta/modeling_deta.py Co-authored-by:
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Matt authored
* Allow non-special tokens to be added * Add test, fix token adding code * Revert changes to id_to_token and token_to_id * Update the ESM tokenizer to be a bit more standardized * Update src/transformers/models/esm/tokenization_esm.py Co-authored-by:
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Patrick von Platen authored
* finalize * make fix copies whisper * [Tests] Make sure that we don't run tests mulitple times * Update src/transformers/models/whisper/modeling_whisper.py * [Tests] Make sure that we don't run tests mulitple times * fix more * improve * improve * improve further * improve more * improve * fix more * git commit and git push * fix more * fix more * fix more * New try * Fix more whisper stuff * Improve * correct more * correct more * correct more * Fix some tests * Add more tests * correct more * correct more * correct more * push * correct more * Fix more * Better * without dec mask * correct more * clean * save intermediate * Fix more * Fix VAD for large-v2 * Save new * Correct more * make cleaner * correct tests * correct src * Finish * Fix more * Fix more * finish * Fix edge cases * fix return_dict_in_generate * fix all tests * make style * add docstrings * add docstrings * Fix logit processor * make style * fix pipeline test * fix more style * Apply suggestions from code review * apply feedback Sanchit * correct more * Apply suggestions from code review Co-authored-by:
Joao Gante <joaofranciscocardosogante@gmail.com> Co-authored-by:
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Yih-Dar authored
* not save if empty * fix * fix * fix * fix * fix --------- Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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- 18 Jan, 2024 4 commits
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Sanchit Gandhi authored
* fix * tests * fix test
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Yoach Lacombe authored
* first commit * correct default value non causal * update config and modeling code * update converting checkpoint * clean modeling and fix tests * make style * add new config parameters to docstring * fix copied from statements * Apply suggestions from code review Co-authored-by:
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Arthur authored
* fix * last attempt * current work * fix forward compatibility * save all special tokens * current state * revert additional changes * updates * remove tokenizer.model * add a test and the fix * nit * revert one more break * fix typefield issue * quality * more tests * fix fields for FC * more nits? * new additional changes * how * some updates * the fix * where do we stand * nits * nits * revert unrelated changes * nits nits nits * styling * don't break llama just yet * revert llama changes * safe arg check * fixup * Add a test for T5 * Necessary changes * Tests passing, added tokens need to not be normalized. If the added tokens are normalized, it will the stripping which seems to be unwanted for a normal functioning * Add even more tests, when normalization is set to True (which does not work
馃槗 ) * Add even more tests, when normalization is set to True (which does not work馃槗 ) * Update to main * nits * fmt * more and more test * comments * revert change as tests are failing * make the test more readble * nits * refactor the test * nit * updates * simplify * style * style * style convert slow * Update src/transformers/convert_slow_tokenizer.py -
Yih-Dar authored
* save processor * Update tests/models/auto/test_processor_auto.py Co-authored-by:
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- 17 Jan, 2024 3 commits
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fxmarty authored
* skip bf16 test if not supported by device * fix * fix bis * use is_torch_bf16_available_on_device * use is_torch_fp16_available_on_device * fix & use public llama * use 1b model * fix flacky test --------- Co-authored-by:Your Name <you@example.com>
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Junyang Lin authored
* add config, modeling, and tokenization * add auto and init * update readme * update readme * update team name * fixup * fixup * update config * update code style * update for fixup * update for fixup * update for fixup * update for testing * update for testing * fix bug for config and tokenization * fix bug for bos token * not doctest * debug tokenizer * not doctest * debug tokenization * debug init for tokenizer * fix style * update init * delete if in token auto * add tokenizer doc * add tokenizer in init * Update dummy_tokenizers_objects.py * update * update * debug * Update tokenization_qwen2.py * debug * Update convert_slow_tokenizer.py * add copies * add copied from and make style * update files map * update test * fix style * fix merge reading and update tests * fix tests * fix tests * fix style * debug a variable in readme * Update src/transformers/models/qwen2/configuration_qwen2.py Co-authored-by:
Ren Xuancheng <jklj077@users.noreply.github.com> Co-authored-by:
renxuancheng.rxc <renxuancheng.rxc@alibaba-inc.com> Co-authored-by:
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fxmarty authored
* torch.fx: add pkv, llama, sdpa support * Update src/transformers/models/opt/modeling_opt.py * remove spaces * trigger ci * use explicit variable names
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- 16 Jan, 2024 3 commits
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Arthur authored
[`SpeechT5Tokenization`] Add copied from and fix the `convert_tokens_to_string` to match the fast decoding scheme (#28522) * Add copied from and fix the `convert_tokens_to_string` to match the fast decoding scheme * fixup * add a small test * style test file * nites
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Arthur authored
* cleanup * add a test * update the test * style * revert part that allows to pickle the tokenizer
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Nima Yaqmuri authored
* Fix bug in SpeechT5 speech decoder prenet's forward method - Removed redundant `repeat` operation on speaker_embeddings in the forward method. This line was erroneously duplicating the embeddings, leading to incorrect input size for concatenation and performance issues. - Maintained original functionality of the method, ensuring the integrity of the speech decoder prenet's forward pass remains intact. - This change resolves a critical bug affecting the model's performance in handling speaker embeddings. * Refactor SpeechT5 text to speech integration tests - Updated SpeechT5ForTextToSpeechIntegrationTests to accommodate the variability in sequence lengths due to dropout in the speech decoder pre-net. This change ensures that our tests are robust against random variations in generated speech, enhancing the reliability of our test suite. - Removed hardcoded dimensions in test assertions. Replaced with dynamic checks based on model configuration and seed settings, ensuring tests remain valid across different runs and configurations. - Added new test cases to thoroughly validate the shapes of generated spectrograms and waveforms. These tests leverage seed settings to ensure consistent and predictable behavior in testing, addressing potential issues in speech generation and vocoder processing. - Fixed existing test cases where incorrect assumptions about output shapes led to potential errors. * Fix bug in SpeechT5 speech decoder prenet's forward method - Removed redundant `repeat` operation on speaker_embeddings in the forward method. This line was erroneously duplicating the embeddings, leading to incorrect input size for concatenation and performance issues. - Maintained original functionality of the method, ensuring the integrity of the speech decoder prenet's forward pass remains intact. - This change resolves a critical bug affecting the model's performance in handling speaker embeddings. * Refactor SpeechT5 text to speech integration tests - Updated SpeechT5ForTextToSpeechIntegrationTests to accommodate the variability in sequence lengths due to dropout in the speech decoder pre-net. This change ensures that our tests are robust against random variations in generated speech, enhancing the reliability of our test suite. - Removed hardcoded dimensions in test assertions. Replaced with dynamic checks based on model configuration and seed settings, ensuring tests remain valid across different runs and configurations. - Added new test cases to thoroughly validate the shapes of generated spectrograms and waveforms. These tests leverage seed settings to ensure consistent and predictable behavior in testing, addressing potential issues in speech generation and vocoder processing. - Fixed existing test cases where incorrect assumptions about output shapes led to potential errors. * Enhance handling of speaker embeddings in SpeechT5 - Refined the generate and generate_speech functions in the SpeechT5 class to robustly handle two scenarios for speaker embeddings: matching the batch size (one embedding per sample) and one-to-many (a single embedding for all samples in the batch). - The update includes logic to repeat the speaker embedding when a single embedding is provided for multiple samples, and a ValueError is raised for any mismatched dimensions. - Also added corresponding test cases to validate both scenarios, ensuring complete coverage and functionality for diverse speaker embedding situations. * Improve Test Robustness with Randomized Speaker Embeddings
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- 15 Jan, 2024 1 commit
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Joao Gante authored
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- 12 Jan, 2024 1 commit
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amyeroberts authored
* Update meatdata loading for oneformer * Enable loading from a model repo * Update docstrings * Fix tests * Update tests * Clarify repo_path behaviour
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- 11 Jan, 2024 4 commits
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Yih-Dar authored
* fix * fix --------- Co-authored-by: -
liangxuZhang authored
* Correct the implementation of auxiliary loss of mixtrtal * correct the implementation of auxiliary loss of mixtrtal * Implement a simpler calculation method --------- Co-authored-by:zhangliangxu3 <zhangliangxu3@jd.com>
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Gustavo de Rosa authored
* chore(phi): Updates configuration_phi with missing keys. * chore(phi): Adds first draft of combined modeling_phi. * fix(phi): Fixes according to latest review. * fix(phi): Removes pad_vocab_size_multiple to prevent inconsistencies. * fix(phi): Fixes unit and integration tests. * fix(phi): Ensures that everything works with microsoft/phi-1 for first integration. * fix(phi): Fixes output of docstring generation. * fix(phi): Fixes according to latest review. * fix(phi): Fixes according to latest review. * fix(tests): Re-enables Phi-1.5 test. * fix(phi): Fixes attention overflow on PhiAttention (for Phi-2). * fix(phi): Improves how queries and keys are upcast. * fix(phi): Small updates on latest changes.
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Harisankar Babu authored
* optionally preprocess segmentation maps for mobilevit * changed pretrained model name to that of segmentation model * removed voc-deeplabv3 from model archive list * added preprocess_image and preprocess_mask methods for processing images and segmentation masks respectively * added tests for segmentation masks based on segformer feature extractor * use crop_size instead of size * reverting to initial model
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- 10 Jan, 2024 2 commits
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Patrick von Platen authored
* [Whisper] Fix slow test * update * update * update * update --------- Co-authored-by: -
Victor SANH authored
* fix `_merge_input_ids_with_image_features` for llava model * Update src/transformers/models/llava/modeling_llava.py Co-authored-by:
Younes Belkada <49240599+younesbelkada@users.noreply.github.com> * Update tests/models/vipllava/test_modeling_vipllava.py * style and quality --------- Co-authored-by:
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- 09 Jan, 2024 1 commit
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Sangbum Daniel Choi authored
* fix auxiliary loss training in detrSegmentation * add auxiliary_loss testing
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- 08 Jan, 2024 3 commits
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NielsRogge authored
* Add first draft * Use appropriate gelu function * More improvements * More improvements * More improvements * Convert checkpoint * More improvements * Improve docs, remove print statements * More improvements * Add link * remove unused masking function * begin tokenizer * do_lower_case * debug * set split_special_tokens=True * Remove script * Fix style * Fix rebase * Use same design as CLIP * Add fast tokenizer * Add SiglipTokenizer to init, remove extra_ids * Improve conversion script * Use smaller inputs in conversion script * Update conversion script * More improvements * Add processor to conversion script * Add tests * Remove print statements * Add tokenizer tests * Fix more tests * More improvements related to weight initialization * More improvements * Make more tests pass * More improvements * More improvements * Add copied from * Add canonicalize_text * Enable fast tokenizer tests * More improvements * Fix most slow tokenizer tests * Address comments * Fix style * Remove script * Address some comments * Add copied from to tests * Add more copied from * Add more copied from * Add more copied from * Remove is_flax_available * More updates * Address comment * Remove SiglipTokenizerFast for now * Add caching * Remove umt5 test * Add canonicalize_text inside _tokenize, thanks Arthur * Fix image processor tests * Skip tests which are not applicable * Skip test_initialization * More improvements * Compare pixel values * Fix doc tests, add integration test * Add do_normalize * Remove causal mask and leverage ignore copy * Fix attention_mask * Fix remaining tests * Fix dummies * Rename temperature and bias * Address comments * Add copied from to tokenizer tests * Add SiglipVisionModel to auto mapping * Add copied from to image processor tests * Improve doc * Remove SiglipVisionModel from index * Address comments * Improve docs * Simplify config * Add first draft * Make it like mistral * More improvements * Fix attention_mask * Fix output_attentions * Add note in docs * Convert multilingual model * Convert large checkpoint * Convert more checkpoints * Add pipeline support, correct image_mean and image_std * Use padding=max_length by default * Make processor like llava * Add code snippet * Convert more checkpoints * Set keep_punctuation_string=None as in OpenCLIP * Set normalized=False for special tokens * Fix doc test * Update integration test * Add figure * Update organization * Happy new year * Use AutoModel everywhere --------- Co-authored-by:patil-suraj <surajp815@gmail.com>
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Rosie Wood authored
* add segmentation map processing to sam image processor * fixup * add tests * reshaped_input_size is shape before padding * update tests for size/shape outputs * fixup * add code snippet to docs * Update docs/source/en/model_doc/sam.md Co-authored-by:
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Mohamed Abu El-Nasr authored
* Fix building alibi tensor when num_heads is not a power of 2 * Remove print function
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- 07 Jan, 2024 1 commit
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Susnato Dhar authored
* modified script and added test for phi2 * changes
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- 05 Jan, 2024 2 commits
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Sangbum Daniel Choi authored
* [DETA] fix freeze/unfreeze function * Update src/transformers/models/deta/modeling_deta.py Co-authored-by:
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Fernando Rodriguez Sanchez authored
* Fix pos_mask application and update tests accordingly * Fix style * Adding comments --------- Co-authored-by:Fernando Rodriguez <fernando.rodriguez@nielseniq.com>
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