"examples/flax/vscode:/vscode.git/clone" did not exist on "b2748a6efd045dd771f8fd48e8b309cbc061c618"
- 05 Jan, 2024 1 commit
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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:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> Co-authored-by:
Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * clean a test * make style + correct typo * write clearer comments * explain test in comment --------- 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 6 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:
Younes Belkada <49240599+younesbelkada@users.noreply.github.com> * add a slow test just to be sure * fixup --------- Co-authored-by:
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Sanchit Gandhi authored
* [Whisper] Use torch for stft if available * update docstring * mock patch decorator * fit on one line
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Dean Wyatte authored
disable retain_grad_hidden_states_attentions on SeamlessM4TModelWithTextInputTest
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- 20 Dec, 2023 2 commits
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amyeroberts authored
* Fix yolos resizing * Update tests * Add a test
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Joao Gante authored
Co-authored-by:Merve Noyan <merveenoyan@gmail.com>
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- 19 Dec, 2023 1 commit
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Arthur authored
* default config should not use sliding window * update the doc * nits * add a proper test * update * update * update expected value * Update src/transformers/tokenization_utils_fast.py Co-authored-by:
Lysandre Debut <hi@lysand.re> * revert unrelated change --------- Co-authored-by:
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- 18 Dec, 2023 1 commit
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Matt authored
* More build_in_name_scope() * Make sure we set the save spec now we don't do it with dummies anymore * make fixup
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- 15 Dec, 2023 2 commits
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Quentin Lhoest authored
* fix hf-internal-testing/fixtures_image_utils * fix test * comments
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Yoach Lacombe authored
* skip test from SpeechInput * refine description of skip
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- 14 Dec, 2023 4 commits
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Matt authored
Replace build() with build_in_name_scope() for some tests
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Matt authored
* Add a convenience method for building in your own name scope * Second attempt at auto layer building * Revert "Second attempt at auto layer building" This reverts commit e03a3aaecf9ec41a805582b83cbdfe3290a631be. * Attempt #3 * Revert "Attempt #3" This reverts commit b9df7a0857560d29b5abbed6127d9e9eca77cf47. * Add missing attributes that we're going to need later * Add some attributes we're going to need later * A fourth attempt! Feel the power flow through you! * Revert "A fourth attempt! Feel the power flow through you!" This reverts commit 6bf4aaf3875d6f28485f50187617a4c616c8aff7. * Add more values we'll need later * TF refactor that we'll need later * Revert "TF refactor that we'll need later" This reverts commit ca07202fb5b7b7436b893baa8d688b4f348ea7b9. * Revert "Revert "TF refactor that we'll need later"" This reverts commit 1beb0f39f293ed9c27594575e1c849aadeb15c13. * make fixup * Attempt five! * Revert "Attempt five!" This reverts commit 3302207958dfd0374b0447a51c06eea51a506044. * Attempt six - this time don't add empty methods * Revert "Attempt six - this time don't add empty methods" This reverts commit 67d60129be75416b6beb8f47c7d38d77b18d79bb. * Attempt seven - better base model class detection! * Revert "Attempt seven - better base model class detection!" This reverts commit 5f14845e92ea0e87c598da933bfbfee10f553bc9. * Another attribute we'll need later * Try again with the missing attribute! * Revert "Try again with the missing attribute!" This reverts commit 760c6f30c5dffb3e04b0e73c34a77d1882a0fef7. * This is the attempt that will pierce the heavens! * Revert "This is the attempt that will pierce the heavens!" This reverts commit c868bb657de057aca7a5260350a3f831fc4dfee6. * Attempt seven - snag list is steadily decreasing * Revert "Attempt seven - snag list is steadily decreasing" This reverts commit 46fbd975deda64429bfb3e5fac4fc0370c00d316. * Attempt eight - will an empty snag list do it? * Revert "Attempt eight - will an empty snag list do it?" This reverts commit 7c8a3c2b083253649569e9877e02054ae5cec67b. * Fixes to Hubert issues that cause problems later * Trying again with Conv1D/SeparableConv fixes * Revert "Trying again with Conv1D/SeparableConv fixes" This reverts commit 55092bca952bc0f750aa1ffe246a640bf1e2036e. * Apply the build shape fixes to Wav2Vec2 as well * One more attempt! * Revert "One more attempt!" This reverts commit 5ac3e4cb01b9458cc93312873725f9444ae7261c. * Another attempt! * Revert "Another attempt!" This reverts commit ea16d890e019d7de8792a3b8e72f3b1c02adae50. * Let's see how many failures we get without the internal build method * Fix OpenAI * Fix MobileBERT * (Mostly) fix GroupVIT * Fix BLIP * One more BLIP fix * One more BLIP fix! * Fix Regnet * Finally fully fix GroupViT * Fix Data2Vec and add the new AdaptivePool * Fix Segformer * Fix Albert * Fix Deberta/DebertaV2 * Fix XLM * Actually fix XLM * Fix Flaubert * Fix lxmert * Fix Resnet * Fix ConvBERT * Fix ESM * Fix Convnext / ConvnextV2 * Fix SAM * Fix Efficientformer * Fix LayoutLMv3 * Fix speech_to_text * Fix mpnet and mobilevit * Fix Swin * Fix CTRL * Fix CVT * Fix DPR * Fix Wav2Vec2 * Fix T5 * Fix Hubert * Fix GPT2 * Fix Whisper * Fix DeiT * Fix the encoder-decoder / dual-encoder classes * make fix-copies * build in name scope * Fix summarization test * Fix tied weight names for BART + Blenderbot * Fix tied weight name building * Fix to TFESM weight building * Update TF SAM * Expand all the shapes out into Big Boy Shapes
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Yoach Lacombe authored
* correct language assessment + add tests * Update src/transformers/models/seamless_m4t_v2/modeling_seamless_m4t_v2.py Co-authored-by:
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Joao Gante authored
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- 13 Dec, 2023 3 commits
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Arthur authored
* fix expected values * style * test is slow
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Arindam Jati authored
* fix slow tests * revert formatting --------- Co-authored-by:
Arindam Jati <arindam.jati@ibm.com> Co-authored-by:
Kashif Rasul <kashif.rasul@gmail.com>
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Younes Belkada authored
* v1 * add-new-model-like * revert * fix forward and conversion script * revert * fix copies * fixup * fix * Update docs/source/en/index.md * Apply suggestions from code review * push * fix * fixes here and there * up * fixup and fix tests * Apply suggestions from code review * add docs * fixup * fixes * docstring * add docstring * fixup * docstring * fixup * nit * docs * more copies * fix copies * nit * update test
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- 11 Dec, 2023 5 commits
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rjenc29 authored
* fix a typo and add an illustrative test * appease black * reduce code duplication and add Annotion type back with a pending deprecation warning * remove unused code * change warning type * black formatting fix * change enum deprecation approach to support 3.8 and earlier * add stacklevel * fix black issue * fix ruff issues * fix ruff issues * move tests to own mixin * include yolos * fix black formatting issue * fix black formatting issue * use logger instead of warnings and include target version for deprecation
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Arthur authored
* up * up * test * logits ok * up * up * few fixes * conversion script * up * nits * nits * update * nuke * more updates * nites * fix many issues * nit * scatter * nit * nuke megablocks * nits * fix conversion script * nit * remove * nits * nit * update * oupsssss * change * nits device * nits * fixup * update * merge * add copied from * fix the copy mentions * update tests * more fixes * nits * conversion script * add parts of the readme * Update tests/models/mixtral/test_modeling_mixtral.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * new test + conversion script * Apply suggestions from code review Co-authored-by:
younesbelkada <younesbelkada@gmail.com> Co-authored-by:
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Yoach Lacombe authored
change dtype of some integration tests
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Yih-Dar authored
fix Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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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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- 08 Dec, 2023 3 commits
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fxmarty authored
* add sdpa * wip * cleaning * add ref * yet more cleaning * and more :) * wip llama * working llama * add output_attentions=True support * bigcode sdpa support * fixes * gpt-bigcode support, require torch>=2.1.1 * add falcon support * fix conflicts falcon * style * fix attention_mask definition * remove output_attentions from attnmaskconverter * support whisper without removing any Copied from statement * fix mbart default to eager renaming * fix typo in falcon * fix is_causal in SDPA * check is_flash_attn_2_available in the models init as well in case the model is not initialized through from_pretrained * add warnings when falling back on the manual implementation * precise doc * wip replace _flash_attn_enabled by config.attn_implementation * fix typo * add tests * style * add a copy.deepcopy on the config in from_pretrained, as we do not want to modify it inplace * obey to config.attn_implementation if a config is passed in from_pretrained * fix is_torch_sdpa_available when torch is not installed * remove dead code * Update src/transformers/modeling_attn_mask_utils.py Co-authored-by:
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Yih-Dar authored
fix Co-authored-by: -
Xin Qiu authored
* Fix issues in add and is_done for BeamHypotheses * make newly added arguments optional for better compatibility * Directly use cur_len as generated_len, add note for retrocompatibility * update test expectation * make cur_len represents the length of the entire sequence including the decoder prompt * remove redundant if/else in testing
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- 07 Dec, 2023 4 commits
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Matt authored
* Un-skip tests * Add aliasing support to tf_to_pt_weight_rename * Refactor tf-to-pt weight rename for simplicity * Patch mobilebert * Let us pray that the transfo-xl one works * Add XGLM rename * Expand the test to see if we can get more models to break * Expand the test to see if we can get more models to break * Fix MPNet (it was actually an unrelated bug) * Fix MPNet (it was actually an unrelated bug) * Add speech2text fix * Update src/transformers/modeling_tf_pytorch_utils.py Co-authored-by:
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fxmarty authored
fix device of mask in tests
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Yih-Dar authored
* fix --------- Co-authored-by:
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Younes Belkada authored
* add model like * logits match * minor fixes * fixes * up * up * add todo * llava processor * keep the processor simple * add conversion script * fixup * fix copies * up * add to index * fix config + logits * fix * refactor * more refactor * more refactor * fix copies * add authors * v1 tests * add `LlavaProcessor` in init * remove unneeded import * up * up * docs * up * fix CI * fix CI * add attention mask in test * make fixup * remove the vision model * that' s the dirty way to do it * nits * nits * updates * add more tests * add input tests * fixup * more styling * nits * updates amd cleanup * fixup the generation expected results * fix the testing script * some cleanup and simplification which does not work yet but almost there! * make correct dispatch operations * vectorize works for batch of images and text * last todos * nits * update test and modeling code * remove useless function for now * fix few issues * fix generation * some nits * add bakllava * nits * remove duplicated code * finis merge * cleanup * missed this line * fill the todos * add left padding offset * add left and rignt padding logic * bool to properly index * make sure * more cleanups * batch is fixed
馃槈 * add correct device for tensor creation * fix some dtype missmatch * ruff * update conversion script * Update src/transformers/__init__.py * fa 2 support + fix conversion script * more * correct reshaping * fix test dict * fix copies by ignoring * fix nit * skip clip vision model * fixup * fixup * LlavaForVisionText2Text -> LlavaForCausalLM * update * fix * raise correct errors * fix * docs * nuke for now * nits here and there * fixup * fix remaining tests * update LlavaForConditionalGeneration instead of CausalLM * fixups * pipeline support * slow and piepline tests * supports batch * nits * cleanup * fix first integration tests * add pad token where needed * correct etsts * fixups * update pipeline testr * fix quality * nits * revert unneeded change * nit * use BatchFeature * from ...feature_extraction_utils import BatchFeature * nits * nits * properly update * more f*** nits * fix copies * comment * keep slow test slow * Update src/transformers/models/llava/processing_llava.py Co-authored-by:Arthur Zucker <arthur.zucker@gmail.com> Co-authored-by:
shauray8 <shauray8@users.noreply.github.com> Co-authored-by:
haotian-liu <haotian-liu@users.noreply.github.com> Co-authored-by:
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