- 11 Apr, 2023 1 commit
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Sylvain Gugger authored
* Make it easier to develop without a dev install * Remove ugly hack that doesn't work anyway
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- 06 Apr, 2023 3 commits
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Yih-Dar authored
* Update tiny model summary file for recent models --------- Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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Yih-Dar authored
* Auto. add and update pipeline_model_mapping * Fix style and quality * Finalize (comments) * fix --------- Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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Yih-Dar authored
* Final Tiny things --------- Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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- 04 Apr, 2023 1 commit
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Matt authored
* Initial commit * more stash commit * Yet another stash commit * yet more stash commit * Mostly working except for docs / repo consistency * Stop importing model list from torch file * Add TF BLIP models to docs * Add auto classes * Move get_text_features and get_image_features * Update src/transformers/models/blip/modeling_tf_blip.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/blip/modeling_tf_blip.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/blip/modeling_tf_blip.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/blip/modeling_tf_blip_text.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/blip/modeling_tf_blip.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/blip/modeling_tf_blip.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/blip/modeling_tf_blip.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/blip/modeling_tf_blip.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/blip/modeling_tf_blip.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/blip/test_modeling_tf_blip.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/blip/test_modeling_tf_blip.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/blip/modeling_tf_blip.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/blip/modeling_tf_blip.py Co-authored-by:
Joao Gante <joaofranciscocardosogante@gmail.com> * Update tests/models/blip/test_modeling_tf_blip_text.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/blip/modeling_tf_blip_text.py Co-authored-by:
Joao Gante <joaofranciscocardosogante@gmail.com> * Update src/transformers/models/blip/modeling_tf_blip.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Use channels_last convolutions in TF (better performance + compatibility) * Remove _shape function * Move multi-line statement to one line in PT + TF * Specify tf.keras.layers instead of importing from it * Remove test_gradient_checkpointing and empty test_training methods * move some multi-line statements to one line * Update docstring for generate * Remove pruned heads set * Remove self.seq_len_dim * Fixed issues with loss computation, should resolve some tests. Also ensured that the PT version follows the config for output_attentions and output_hidden_states * ensure original model follows config in more cases * Skip the same cross-attention tests in the PT tests - didn't realize we did it twice! * Add training args throughout the models and layers * make fixup * Fix docstring for inputs_embeds * Add docstring for is_decoder * Add docstrings to text models * Remove redundant computation * Add unpack_inputs / keras_serializable * Add modeling_tf_blip to doctests * Add config classes for keras serialization * Changes to allow model porting with pt-to-tf * Quick fix to decoder head and test tweaks * Revert an issue with masking the embeddings outputs * Allow missing keys in some equivalence tests (for unused layers) * Add tf-pt equivalence tests back in * Update src/transformers/models/blip/modeling_tf_blip.py Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/blip/modeling_tf_blip_text.py Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/blip/modeling_tf_blip_text.py Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * make fixup * Refactor invert_attention_mask out into tf_utils * Re-enable cross-tests on the PT side too --------- Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> Co-authored-by:
Joao Gante <joaofranciscocardosogante@gmail.com> Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
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- 31 Mar, 2023 1 commit
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Sylvain Gugger authored
* Test fetcher v2 * Fix regexes * Remove sanity check * Fake modification to OPT * Fixes some .sep issues * Remove fake OPT change * Fake modif for BERT * Fake modif for init * Exclude SageMaker tests * Fix test and remove fake modif * Fake setup modif * Fake pipeline modif * Remove all fake modifs * Adds options to skip/force tests * [test-all-models] Fake modif for BERT * Try this way * Does the command actually work? * [test-all-models] Try again! * [skip circleci] Remove fake modif * Remove debug statements * Add the list of important models * Quality * Update utils/tests_fetcher.py Co-authored-by:
Lysandre Debut <lysandre.debut@reseau.eseo.fr> * Address review comments * Address review comments * Fix and add test * Apply suggestions from code review Co-authored-by:
Yih-Dar <2521628+ydshieh@users.noreply.github.com> * Address review comments --------- Co-authored-by:
Lysandre Debut <lysandre.debut@reseau.eseo.fr> Co-authored-by:
Yih-Dar <2521628+ydshieh@users.noreply.github.com>
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- 30 Mar, 2023 1 commit
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Yih-Dar authored
* Enable Nightly + Past CI * put schedule --------- Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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- 29 Mar, 2023 1 commit
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Yih-Dar authored
Fix some tiny model creation issues Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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- 28 Mar, 2023 1 commit
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Joao Gante authored
Fix docs and doctests
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- 27 Mar, 2023 1 commit
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Arthur authored
* Initial commit * update modeling code * update doc * add functions necessary * fix impotrs * revert changes * fixup * more styling to get going * remove standalone encoder * update code * styling * fix config and model * update code and some refactoring * make more tests pass * Adding NLLB-200 - MoE - 54.5B for no language left behind Fixes #21300 * fix mor common tests * styke * update testing file * update * update * Router2 doc * update check config with sparse layer * add dummy router * update current conversion script * create on the fly conversion script * Fixup * style * style 2 * fix empty return * fix return * Update default config sparse layers * easier to create sparse layers * update * update conversion script * update modeling * add to toctree * styling * make ruff happy * update docstring * update conversion script * update, will break tests but impelemting top2 * update *
❗ local groups are supported here *⚠ ️ Support for local groups is now removed⚠ ️ This is because it has to work with model parallelism that we do not support * finish simplificaiton * Fix forward * style * fixup * Update modelling and test, refactoring * update tests * remove final layer)norm as it is done in the FF * routing works! Logits test added * nit in test * remove top1router * style * make sure sparse are tested. Had to change route_tokens a liottle bit * add support for unslip models when converting * fixup * style * update test s * update test * REFACTOR * encoder outputs match! * style * update testing *🎉 encoder and decoder logits match🎉 * styleing * update tests * cleanup tests * fix router test and CIs * cleanup * cleanup test styling * fix tests * Finally the generation tests match! * cleanup * update test * style testing file * remove script * cleanup * more cleanup * nits * update * NLLB tokenizer is wrong and will be fixed soon * use LongTensors * update tests * revert some small changes * fix second expert sampling and batch prioritized routing * update tests * finish last tests * make ruff happy * update * ruff again * style * Update docs/source/en/model_doc/nllb-moe.mdx Co-authored-by:Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Updates based on review * style and fix import issue * nit * more nits * cleanup * styling * update test_seconde_expert_policy * fix name * last nit on the markdown examples --------- Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
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- 23 Mar, 2023 1 commit
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Yih-Dar authored
* Automatically create or update tiny models * Skip failed tests * update workflow file * use revision --------- Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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- 22 Mar, 2023 2 commits
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Younes Belkada authored
* v1 all keys match * clean up * forward pass ok * add correct image transform * generate works, logits matching * clean up * more refactor * revert * revert * clean up * clean ups * clean up * refactor * refactor * fix doc * fix tokenizer test * fix toctree * revert toctree * oops * few fixes * replace to `pixel_embeds` * make fixup * test processing & feat extractor * fix some tests * more fixes * make fixup * clean up * more clean up * add a single slow test * fix test * make fixup * fix * fix authors * fix toctree * update docs * add docstring * revert change * Update src/transformers/models/pix2struct/__init__.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * fix tokenizer * fix processor test * fix test * make fixup * refactor * fix config * Update src/transformers/models/pix2struct/image_processing_pix2struct.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * format * fix * Update src/transformers/models/pix2struct/image_processing_pix2struct.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * make fixup * add docstring * fix issues * fix * fix * fix * add slow test * fix * fix * fix batched issue * fix training issues * fix ci test * fix slow test * fix conversion script * remove unneeded classes * fix slow test * fix require backends * fix masked fill * revert * fix softmax * add large models support * fix conditional generation * few fixes * add instructions * rm unneeded file * Update src/transformers/models/pix2struct/convert_pix2struct_original_pytorch_to_hf.py * fix ci test * fix ci test really * Apply suggestions from code review Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * fix nit * fix nits * fix image processors nits * docstring * clean up * fix nit * fix tests * docstring nit * fix reshape * Update src/transformers/models/pix2struct/image_processing_pix2struct.py Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * fix nit * fix repetition * refactor processor * make patch size consistent * refactor forward * fix docstring * fix max_patches issue * update docstirng * update docstring * fix coped from * add skip reasons * few fixes * Update src/transformers/models/pix2struct/image_processing_pix2struct.py Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * format * fix doctests * refactor and fix * fix doc build issue * fix processor test * small fix conversion script * replace correct weights * make fixup * fix some issues * Apply suggestions from code review Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * revert config and fixes * Update src/transformers/models/pix2struct/image_processing_pix2struct.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * more details * fixes * fix processor * fix processor test * fix * Apply suggestions from code review Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * make fixup * fix processor * Update src/transformers/models/pix2struct/modeling_pix2struct.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * add copied * make fixup * fix copies * update docstring * refactor * fix docstring * fix conversion script * fix vqa issue * replace to `flattened_patches` * nit * fix numpy issue * fix image processors * add batched vqa support * fix vqa conversion * make fixup * fix conversion script * Apply suggestions from code review Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * make fixup * add correct docstring * update docstring * fix module level + channel dim * use `make_list_of_images` * refactor * correct docstring * fix authors * remove `data_format` * add header text test * Apply suggestions from code review Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * make fixup * add checkpoints --------- Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com>
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Yih-Dar authored
* update * update --------- Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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- 21 Mar, 2023 2 commits
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Yih-Dar authored
* fix more doctests * fix style --------- Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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Yih-Dar authored
* all doctests * Skip failed tests --------- Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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- 17 Mar, 2023 1 commit
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Maria Khalusova authored
* added doc to toc, auto tip with supported models, mention of task guide in model docs * make style * removed "see also" * minor fix
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- 16 Mar, 2023 2 commits
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Yih-Dar authored
* Update UNCONVERTIBLE_MODEL_ARCHITECTURES * Deal with 2 model tester classes in single test file * Deal with 2 model tester classes in single test file * Deal with 2 model tester classes in single test file * make style and quality --------- Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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Jason Phang authored
* LLaMA * sharding and docs * tweak * black * inits * ruff * LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP * init * no checkpoint * docs * ruff * type_vocab_size * tokenizer fixes * tokenizer fixes * Update tokenization_llama.py * Update tokenization_llama.py * Update configuration_llama.py * Update modeling_llama.py * tokenizer add_bos by default * licenses * remove decoder * norms and mlp * rope overhaul * tweaks * black * mention OPT implementation * off-by-one naming * typo * fix * tokenization fix and slicing bug * padding config * cleanup * black * update tests * undo typo * fix vocab caching logic * ruff * docbuilder * attn fix from BlackSamorez * initial feedback * typo * docs * llama case * llama case * load checkpoint docs * comment about tokenizer * tokenizer defaults * clear past_key_values if use_cache=False * last tweaks * last tweaks * last tweaks * last tweaks --------- Co-authored-by:Stella Biderman <stellabiderman@gmail.com>
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- 14 Mar, 2023 1 commit
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Alara Dirik authored
* Add ConvNeXt V2 to transformers * TF model is separated from the PR to fix issues
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- 13 Mar, 2023 3 commits
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Yih-Dar authored
* Add script --------- Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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wangpeng authored
* add new model of MGP-STR * fix the check failings * remove torch and numpy from mgp_tokenization * remove unused import from modeling_mgp_str * add test_processing_mgp_str * rm test_processing_mgp_str.py * add test_processing_mgp_str * add test_processing_mgp_str * add test_processing_mgp_str * rm test_processing_mgp_str and add softmax outs to model * rm test_processing_mgp_str and add softmax outs to model * rewrite the code of mgp-str according to PR suggestions * rewrite the code of mgp-str according to PR suggestions * add new model of MGP-STR * fix the check failings * remove torch and numpy from mgp_tokenization * remove unused import from modeling_mgp_str * add test_processing_mgp_str * rm test_processing_mgp_str.py * add test_processing_mgp_str * add test_processing_mgp_str * add test_processing_mgp_str * rm test_processing_mgp_str and add softmax outs to model * rewrite the code of mgp-str according to PR suggestions * rewrite the code of mgp-str according to PR suggestions * remove representation_size from MGPSTRConfig * reformat configuration_mgp_str.py * format test_processor_mgp_str.py * add test for tokenizer and complete model/processer test and model file * rm Unnecessary tupple in modeling_mgp_str * reduce hidden_size/layers/label_size in test_model * add integration tests and change MGPSTR to Mgpstr * add test for logit values * reformat test model file --------- Co-authored-by:yue kun <yuekun.wp@alibaba-inc.com>
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Alara Dirik authored
Adds AutoModelForZeroShotImageClassification to transformers
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- 09 Mar, 2023 2 commits
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Yih-Dar authored
Update the script Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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Yih-Dar authored
* show hfh warnings --------- Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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- 08 Mar, 2023 1 commit
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Anahita Bhiwandiwalla authored
* Add BridgeTower for ITC * Fix review feedback * Rename BridgeTowerForITC, cleanup * Fix style and quality * implement tests --------- Co-authored-by:
Tiep Le <97980157+tileintel@users.noreply.github.com> Co-authored-by:
Tiep Le <tiep.le@intel.com>
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- 07 Mar, 2023 3 commits
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Yih-Dar authored
* Update 1 * Update 2 * Update 3 * Update 4 * Update 5 * Update 6 * Update 7 * Update 8 * Update 9 * Update 10 --------- Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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Eli Simhayev authored
* added informer to gitignore * added informer to gitignore * WIP informer2020 * added checking that instantiate works * added config using gluonTS by kashif * WIP config * adding informeConfig. need to remove FeatureEmbedder * done InformerConfig, but need to change the names * Done informer model init. working on enc-dec * added things to address, after reading again enc-dec in the paper * done modeling - checking initialization work * added informer to gitignore * WIP informer2020 * added checking that instantiate works * added config using gluonTS by kashif * WIP config * adding informeConfig. need to remove FeatureEmbedder * done InformerConfig, but need to change the names * Done informer model init. working on enc-dec * added things to address, after reading again enc-dec in the paper * done modeling - checking initialization work * moved enc-dec init to InformerEncoder/Decoder init * added 'init_std' to config, now model init works! * WIP conversion script, and added code sources * WIP conversion script: loading original informer pth works * WIP conversion script: change defaults in the config * WIP conversion script: supporting Informer input embedding * WIP conversion script: added parameters for the informer embed * WIP conversion script: change dim_feedforward=2048 * WIP conversion script: remove unused args for loading checkpoint * just cleaning up * DataEmbedding removed, after thinking with Kashif * working on forward pass * WIP forward pass: trying to establish working batch for forward pass * cleaning and finalizing * adding HF names and docs * init after cleaning works * WIP in tests * added docs for the informer specific args * fix style * undo change * cleaning informer, now need to work only enc-dec * initial enc-dec classes * added encoder and decoder * added todo * add todos for conv_layers * added decoder docs from vanilla * added encoder docs from vanilla * remove encoder decoder from the original informer * removed AttentionLayer from the original paper * removed TriangularCausalMask, same as decoder_attention_mask * initial sparse attention * use conv_layers * fixed test_config test * fix parenthesis when itearting zip(layers, conv_layers) * error found in prob attention, added sizes as comments * fix sizes * added proposal for q_reduce indexing, and remove unused * WIP ProbMask, and changed factor=2 for testing * remove unused libs for this PR for creating the env * fix checking the attn_weights.size() after bmm * Q_reduce: changed from torch.gather to simple slicing * WIP calculate final attn_output * finish adding v_aggregated, attn_output ready * changed tgt_len to u in attention_mask, need to fix the size error * comment attention_mask for encoder, and fix if cond for v_agg * added ProbMask support (wip), removed old original code * finished ProbMask
😃 * Revert "remove unused libs for this PR for creating the env" This reverts commit 11a081e09e92771e51a5d2758d53a9afb59547f0. * fixes * make style * fix initial tests * fix more tests * dry * make style * remove unused files * style * added integration tests * fix num_static_real_features * fix header * remove unused function * fix example * fix docs * Update src/transformers/models/informer/configuration_informer.py Co-authored-by:NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/informer/modeling_informer.py Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/informer/configuration_informer.py Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/informer/configuration_informer.py Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/informer/configuration_informer.py Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/informer/configuration_informer.py Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * fixes for reviewer * use prediction_length from model * fix style * fixed informer.mdx * added to index * updated readme * undo * make fix-copies * typo * fix copy * added Informer to toctree * in order * fixed comments * remove unneeded new lines in docs * make static real and cat optional * fix use of distil conv layers * fixed integration test * added checkpoint for convlayer * make fix-copies * updated from time series model * make fix-copies * copy decoder * fix unit tests * updated scaling config * fix integration tests * IGNORE_NON_TESTED * IGNORE_NON_AUTO_CONFIGURED * IGNORE_NON_AUTO_CONFIGURED * updated check configs * fix formatting * undo change from time series * prediction_length should not be None * aliign with the blog: prettify ProbSparse and change attention_factor to sampling_factor * make style * make fix-copies * niels CR: update contributed by * niels CR: update configuration_informer.py Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * niels CR: update kashif -> huggingface Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * niels CR: `sampling_factor` only relevant when `attention_type`=prob * make style * fixed U_part: added multiplication by `L_Q` * fixed bug: remove `is not None` from `if config.distil` * fixed test: `decoder_seq_length` to `encoder_seq_length` in cross_attentions check * fix integration tests * updated model hub * do not shift as in training * undo * fix make-copies * make fix-copies * added `if prediction_length is None` * changed `ProbSparseAttention` to `InformerProbSparseAttention` * changed `V_sum` -> `v_mean_dim_time` * changed `ConvLayer` to `InformerConvLayer` and fixed `super()` * TimeSeriesTansformer->Informer in decoder's Copied from * more descriptive in ProbSparse * make style * fix coped from * Revert "added `if prediction_length is None`" This reverts commit b4cbddfa05e3bd739b79569cd3c3b89e316f2451. * fixed indent * use InformerSinusoidalPositionalEmbedding * make fix-style * fix from #21860 * fix name * make fix-copies * use time series utils * fix dec num_heads * docstring * added time series util doc * _import_structure * formatting * changes from review * make style * fix docs * fix doc * removed NegativeLogLikelihood --------- Co-authored-by:
Kashif Rasul <kashif.rasul@gmail.com> Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com>
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Yih-Dar authored
* better check * better check --------- Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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- 03 Mar, 2023 2 commits
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Yih-Dar authored
* Update utils/check_repo.py Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update utils/check_repo.py Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> --------- Co-authored-by:
ydshieh <ydshieh@users.noreply.github.com> Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
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Yih-Dar authored
* fix auto 2 * fix auto 2 * fix task guide issue * fix --------- Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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- 02 Mar, 2023 3 commits
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Yih-Dar authored
* fix * add to tests * style and quality * add missing --------- Co-authored-by:
NielsRogge <NielsRogge@users.noreply.github.com> Co-authored-by:
ydshieh <ydshieh@users.noreply.github.com>
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Yih-Dar authored
* add new test * fix after new test --------- Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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amyeroberts authored
* Use PyAV instead of Decord * Get frame indices * Fix number of frames * Update src/transformers/models/videomae/image_processing_videomae.py * Fix up * Fix copies * Update timesformer doctests * Update docstrings
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- 01 Mar, 2023 3 commits
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Alara Dirik authored
Adds the ALIGN model to transformers. ALIGN is introduced in "Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision" by Chao Jia, Yinfei Yang, Ye Xia, Yi-Ting Chen, Zarana Parekh, Hieu Pham, Quoc V. Le, Yunhsuan Sung, Zhen Li, Tom Duerig.
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Matt authored
* Temporary commit to stash everything so far * Temporary commit to stash everything so far * stash commit * Refactor from_pretrained * Fix final test, make fixup * Update dummies * Add model to TEST_FILES_WITH_NO_COMMON_TESTS * Update src/transformers/models/vision_text_dual_encoder/modeling_tf_vision_text_dual_encoder.py Co-authored-by:
Joao Gante <joaofranciscocardosogante@gmail.com> * Update src/transformers/models/vision_text_dual_encoder/modeling_tf_vision_text_dual_encoder.py Co-authored-by:
Joao Gante <joaofranciscocardosogante@gmail.com> * Update src/transformers/models/vision_text_dual_encoder/modeling_tf_vision_text_dual_encoder.py Co-authored-by:
Joao Gante <joaofranciscocardosogante@gmail.com> * Update src/transformers/models/vision_text_dual_encoder/modeling_tf_vision_text_dual_encoder.py Co-authored-by:
Joao Gante <joaofranciscocardosogante@gmail.com> * Add TFVisionTextDualEncoder to utils/documentation_tests.txt * make fixup --------- Co-authored-by:
Joao Gante <joaofranciscocardosogante@gmail.com>
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Yih-Dar authored
* Add an utility file to get information from test files --------- Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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- 28 Feb, 2023 2 commits
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Yih-Dar authored
* Add PipelineTesterMixin * remove class PipelineTestCaseMeta * move validate_test_components * Add for ViT * Add to SPECIAL_MODULE_TO_TEST_MAP * style and quality * Add feature-extraction * update * raise instead of skip * add tiny_model_summary.json * more explicit * skip tasks not in mapping * add availability check * Add Copyright * A way to diable irrelevant tests * update with main * remove disable_irrelevant_tests * skip tests * better skip message * better skip message * Add all pipeline task tests * revert * Import PipelineTesterMixin * subclass test classes with PipelineTesterMixin * Add pipieline_model_mapping * Fix import after adding pipieline_model_mapping * Fix style and quality after adding pipieline_model_mapping * Fix one more import after adding pipieline_model_mapping * Fix style and quality after adding pipieline_model_mapping * Fix test issues * Fix import requirements * Fix mapping for MobileViTModelTest * Update * Better skip message * pipieline_model_mapping could not be None * Remove some PipelineTesterMixin * Fix typo * revert tests_fetcher.py * update * rename * revert * Remove PipelineTestCaseMeta from ZeroShotAudioClassificationPipelineTests * style and quality * test fetcher for all pipeline/model tests --------- Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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Yih-Dar authored
* Use token * Avoid failure * better error * Fix * fix style --------- Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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- 22 Feb, 2023 2 commits
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Yih-Dar authored
remove from doctest list to avoid GPU OOM Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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Aaron Gokaslan authored
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