- 19 Jan, 2024 3 commits
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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:
Arthur <48595927+ArthurZucker@users.noreply.github.com> --------- 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:
Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * 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:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * add checker of valid position embeddings type * instantiate new layer norm layer with the right eps * fix freeze_feature_encoder since it can be None in some cases * add test same output in convert script * restore wav2vec2conformer and add new model * create processor and FE + clean * add new model code * fix convert script and set default config parameters * correct model id paths * make style * make fix-copies and cleaning files * fix copied from statements * complete .md and fixe copies * clean convert script argument defaults * fix config parameters docstrings * fix config docstring * add copied from and enrich FE tests * fix copied from and repo-consistency * add autotokenizer * make test input length shorter and change docstring code * fix docstrings and copied from * add add_adapter to ASR training example * make testing of adapters more robust * adapt to multi adapter layers * refactor input_values->input_features and remove w2v2-bert feature extractor * remove pretraining model * remove depreciated features and useless lines * add copied from and ignore statements to modeling tests * remove pretraining model #2 * change import in convert script * change default in convert script * update readme and remove useless line * Update tests/models/wav2vec2_bert/test_processor_wav2vec2_bert.py 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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- 04 Jan, 2024 2 commits
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Yoach Lacombe authored
* fix M4T FE error when no attention mask * modify logic * add test * go back to initial test situation + add other tests
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Sangbum Daniel Choi authored
* fix get_num_masks output as [int] to int * fix loss size from torch.Size([1]) to torch.Size([])
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- 03 Jan, 2024 2 commits
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Apsod authored
* remove token_type_ids from model_input_names (like #24788) * removed test that assumed token_type_ids should be present and updated a model reference so that it points to an available model)
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Connor Henderson authored
* start - docs, SpeechT5 copy and rename * add relevant code from FastSpeech2 draft, have tests pass * make it an actual conformer, demo ex. * matching inference with original repo, includes debug code * refactor nn.Sequentials, start more desc. var names * more renaming * more renaming * vocoder scratchwork * matching vocoder outputs * hifigan vocoder conversion script * convert model script, rename some config vars * replace postnet with speecht5's implementation * passing common tests, file cleanup * expand testing, add output hidden states and attention * tokenizer + passing tokenizer tests * variety of updates and tests * g2p_en pckg setup * import structure edits * docstrings and cleanup * repo consistency * deps * small cleanup * forward signature param order * address comments except for masks and labels * address comments on attention_mask and labels * address second round of comments * remove old unneeded line * address comments part 1 * address comments pt 2 * rename auto mapping * fixes for failing tests * address comments part 3 (bart-like, train loss) * make style * pass config where possible * add forward method + tests to WithHifiGan model * make style * address arg passing and generate_speech comments * address Arthur comments * address Arthur comments pt2 * lint changes * Sanchit comment * add g2p-en to doctest deps * move up self.encoder * onnx compatible tensor method * fix is symbolic * fix paper url * move models to espnet org * make style * make fix-copies * update docstring * Arthur comments * update docstring w/ new updates * add model architecture images * header size * md wording update * make style
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- 22 Dec, 2023 4 commits
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Younes Belkada authored
* fix llava index errors * forward contrib credits from original implementation and fix * better fix * final fixes and fix all tests * fix * fix nit * fix tests * add regression tests --------- Co-authored-by:gullalc <gullalc@users.noreply.github.com>
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Yoach Lacombe authored
* fix frames * use smaller chunk length * correct beam search + tentative stride * fix whisper word timestamp in batch * add test batch generation with return token timestamps * Apply suggestions from code review Co-authored-by:
sanchit-gandhi <sanchit@huggingface.co> Co-authored-by:
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NielsRogge authored
* First draft * More improvements * More improvements * Make all tests pass * Remove script * Update image processor * Address comments * Use new gradient checkpointing method * Convert checkpoints, add integration test * Do not keep aspect ratio for now * Set keep_aspect_ratio=False for beit, add integration test * Remove print statement
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Nicholas Neo authored
Fix: [SeamlessM4T - S2TT] Bug in batch loading of audio in torch.Tensor format in the SeamlessM4TFeatureExtractor class (#27914) * fixes: code fixes on is_batched condition to also check for batched audio data in torch.Tensor format instead of only just checking for batched audio data in np.ndarray format * Update src/transformers/models/seamless_m4t/feature_extraction_seamless_m4t.py Co-authored-by:
Yoach Lacombe <52246514+ylacombe@users.noreply.github.com> * refactor: code refactoring to remove torch framework dependency * docs: updated docstring to add torch tensor compatibility * test: add test cases to incorporate torch tensor inputs * test: ran make fix-copies for code conformity * test: refactor test to separate the test_call into test_call_numpy and test_call_torch --------- Co-authored-by:
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- 21 Dec, 2023 4 commits
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amyeroberts authored
Update test values
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amyeroberts authored
Indices must match stage name ordering
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Matt authored
* Fix vision text dual encoder * Small cleanup for wav2vec2 (not fixed yet) * Small fix for vision_encoder_decoder * Fix SAM builds * Update TFBertTokenizer test with modern exporting + tokenizer * Fix DeBERTa * Fix DeBERTav2 * Try RAG fix but it's impossible to test locally * Actually fix RAG now that I got FAISS working somehow * Fix Wav2Vec2, add sermon * Fix Hubert
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Arthur authored
* some nits * update test * add support d\sd[a * remove some dummy inputs * all good * style * nits * fixes * fix more copies * nits * styling * fix * Update src/transformers/models/mistral/modeling_mistral.py Co-authored-by:
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