"docs/source/vscode:/vscode.git/clone" did not exist on "5f3efdf762a5de89d354879d3d6bed689bbc73b7"
- 15 Mar, 2022 4 commits
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Sylvain Gugger authored
* First files * More files * Last files * Style
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Markus Sagen authored
* Fix inconsistent example variable naming - Example code for a sequence classification in Tensorflow had spelling mistakes and incorrect and inconsistent naming - Changed variable naming to be consistent with the two other TF examples * Fix incorrect incorrect training examples
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Daniel Espejel authored
* Added spanish translation of quicktour.mdx * Suggestions applied in the revision of the translation Co-authored-by:
Omar U. Espejel <espejelomar@gmail.com> Co-authored-by:
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Francesco Saverio Zuppichini authored
* encoder works * addded files * norm in stage * convertion script * tests * fix copies * make fix-copies * fixed __init__ * make fix-copies * fix * shapiro test needed * make fix-copie * minor changes * make style + quality * minor refactor conversion script * rebase + tests * removed unused variables * updated doc * toctree * CI * doc * Apply suggestions from code review Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * resolved conversations * make fixup * config passed to modules * config passed to modules * Apply suggestions from code review Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * conversations * conversations * copyrights * normal test * tests Co-authored-by:
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- 14 Mar, 2022 4 commits
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Francesco Saverio Zuppichini authored
* first commit * ResNet model correctly implemented. basic modeling + weights conversion is done removed unused doc mdx file doc and conversion script added feature_extractor to auto test minor changes + style + quality doc test Delete process.yml A left over from my attempt of running circleci locally * minor changes * Apply suggestions from code review Co-authored-by:
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Yhary Arias authored
* Spanish translation of the file training.mdx * Settings - Spanish translation of the file training.mdx * Latest changes to the Spanish translation of the training.mdx file * Delete Hugging.mdx * Last changes to the training fil Espanish version * Latest modifications * Latest changes, document ready for PR * Nits Co-authored-by:
Yhary Arias <yharystefa@gmail.com> Co-authored-by:
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Omar Sanseviero authored
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lewtun authored
* Make Camembert great again! * Add Camembert to TensorFlow ONNX tests
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- 12 Mar, 2022 1 commit
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Stas Bekman authored
* [WIP] add support for bf16 mode * prep for bf16 * prep for bf16 * fix; zero2/bf16 is ok * check bf16 is available * test fixes * enable zero3_bf16 * config files * docs * split stage_dtype; merge back to non-dtype-specific config file * fix doc * cleanup * cleanup * bfloat16 => bf16 to match the PR changes * s/zero_gather_fp16_weights_on_model_save/zero_gather_16bit_weights_on_model_save/; s/save_fp16_model/save_16bit_model/ * test fixes/skipping * move * fix * Update docs/source/main_classes/deepspeed.mdx Co-authored-by:
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- 11 Mar, 2022 3 commits
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Steven Liu authored
*
📝 first draft of audio/vision guides *✨ make fixup *🖍 fix typo *🖍 close parentheses *🖍 apply feedback *🖍 apply feedback, make fixup *🖍 more fixup for perceiver *🖍 apply feedback *✨ make fixup *🖍 fix data collator -
Steven Liu authored
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📝 first draft *🖍 apply feedback *🖍 apply feedback -
Sylvain Gugger authored
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- 10 Mar, 2022 3 commits
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David S. Batista authored
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Patrick von Platen authored
* Move generate docs * up * Update docs/source/_toctree.yml * correct * correct some stuff * correct tests * more fixes * finish generate * add to doc stest * finish * finalize * add warning to generate method
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NielsRogge authored
* Add conversion script * Improve script * Fix bug * Add option to push to hub * Add support for classification models * Update model name * Upload feature extractor files first * Remove hash checking * Fix config * Add id2label * Add import * Fix id2label file name * Fix expected shape * Add model to README * Improve docs * Add integration test and fix CI * Fix code style * Add missing init * Add model to SPECIAL_MODULE_TO_TEST_MAP Co-authored-by:Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
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- 09 Mar, 2022 3 commits
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Sanchit Gandhi authored
* add causal lm * add CausalLM tests * Add FlaxBartForCausalLM * Add EncoderDecoder model tests * change docstring * make repo-consistency * suggested changes * remove jax ops * correction * rename pre-trained decoder model
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lewtun authored
* Add ONNX support for ViT * Refactor to use generic preprocessor * Add vision dep to tests * Extend ONNX slow tests to ViT * Add dummy image generator * Use model_type to determine modality * Add deprecation warnings for tokenizer argument * Add warning when overwriting the preprocessor * Add optional args to docstrings * Add minimum PyTorch version to OnnxConfig * Refactor OnnxConfig class variables from CONSTANT_NAME to snake_case * Add reasonable value for default atol Co-authored-by: -
Patrick von Platen authored
* test * up * up * Empty test commit * up * update tests * up * fix some vision models * correct * correct docs * Trigger notification * finalize * check * correct quicktour * Apply suggestions from code review * improve doctests * Trigger Build * next try * next try * and again * Output current clone information * Output current clone information * Correct path * add tf round again * revert to daily job Co-authored-by:Lysandre <lysandre.debut@reseau.eseo.fr>
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- 07 Mar, 2022 1 commit
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Steven Liu authored
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📝 first draft *🖍 apply feedback *🖍 remove examples from toctree *🗑 remove examples from docs/source
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- 04 Mar, 2022 3 commits
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Chan Woo Kim authored
* added classes to get started with constrained beam search * in progress, think i can directly force tokens now but not yet with the round robin * think now i have total control, now need to code the bank selection * technically works as desired, need to optimize and fix design choices leading to undersirable outputs * complete PR #1 without disjunctive decoding * removed incorrect tests * Delete k.txt * Delete test.py * Delete test.sh * revert changes to test scripts * genutils * full implementation with testing, no disjunctive yet * shifted docs * passing all tests realistically ran locally * removing accidentally included print statements * fixed source of error in initial PR test * fixing the get_device() vs device trap * fixed documentation docstrings about constrained_beam_search * fixed tests having failing for Speech2TextModel's floating point inputs * fix cuda long tensor * added examples and testing for them and founx & fixed a bug in beam_search and constrained_beam_search * deleted accidentally added test halting code with assert False * code reformat * Update tests/test_generation_utils.py Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * Update tests/test_generation_utils.py Co-authored-by:
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Javier de la Rosa authored
* Adding Flax XLM-RoBERTa * Add Flax to __init__ * Adding doc and dummy objects * Add tests * Add Flax XLM-R models autodoc * Fix tests * Add Flask XLM-RoBERTa to TEST_FILES_WITH_NO_COMMON_TESTS * Update src/transformers/models/xlm_roberta/modeling_flax_xlm_roberta.py Co-authored-by:
Suraj Patil <surajp815@gmail.com> * Update tests/xlm_roberta/test_modeling_flax_xlm_roberta.py Co-authored-by:
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Nicolas Patry authored
Small adjustments. Adding in type hint. Last fix ? Only include the default dict thing, not the pipelines.
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- 03 Mar, 2022 3 commits
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Patrick von Platen authored
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Li-Huai (Allan) Lin authored
* Draft * Add test * Update src/transformers/models/realm/modeling_realm.py * Apply suggestion * Add block_mask * Update * Update * Add block_embedding_to * Remove no_grad * Use AutoTokenizer * Remove model.to overridding
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Patrick von Platen authored
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- 02 Mar, 2022 4 commits
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Joao Gante authored
* Add TF logits wrappers * Add sample method * add tests for TF logit wrappers * TF generate sample tests now run on CPU Co-authored-by:Matt <Rocketknight1@users.noreply.github.com>
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Francesco Saverio Zuppichini authored
* maskformer * conflicts * conflicts * minor fixes * feature extractor test fix refactor MaskFormerLoss following conversation MaskFormer related types should not trigger a module time import error missed one removed all the types that are not used update config mapping minor updates in the doc resolved conversation that doesn't need a discussion minor changes resolved conversations fixed DetrDecoder * minor changes minor changes fixed mdx file test feature_extractor return types functional losses -> classes removed the return type test for the feature extractor minor changes + style + quality * conflicts? * rebase master * readme * added missing files * deleded poolformers test that where in the wrong palce * CI * minor changes * Apply suggestions from code review Co-authored-by:
ydshieh <ydshieh@users.noreply.github.com> [examples/summarization and translation] fix readme (#15833) Add ONNX Runtime quantization for text classification notebook (#15817) Re-enable doctests for the quicktour (#15828) * Re-enable doctests for the quicktour * Re-enable doctests for task_summary (#15830) * Remove & Framework split model report (#15825) Add TFConvNextModel (#15750) * feat: initial implementation of convnext in tensorflow. * fix: sample code for the classification model. * chore: added checked for from the classification model. * chore: set bias initializer in the classification head. * chore: updated license terms. * chore: removed ununsed imports * feat: enabled argument during using drop_path. * chore: replaced tf.identity with layers.Activation(linear). * chore: edited default checkpoint. * fix: minor bugs in the initializations. * partial-fix: tf model errors for loading pretrained pt weights. * partial-fix: call method updated * partial-fix: cross loading of weights (4x3 variables to be matched) * chore: removed unneeded comment. * removed playground.py * rebasing * rebasing and removing playground.py. * fix: renaming TFConvNextStage conv and layer norm layers * chore: added initializers and other minor additions. * chore: added initializers and other minor additions. * add: tests for convnext. * fix: integration tester class. * fix: issues mentioned in pr feedback (round 1). * fix: how output_hidden_states arg is propoagated inside the network. * feat: handling of arg for pure cnn models. * chore: added a note on equal contribution in model docs. * rebasing * rebasing and removing playground.py. * feat: encapsulation for the convnext trunk. * Fix variable naming; Test-related corrections; Run make fixup * chore: added Joao as a contributor to convnext. * rebasing * rebasing and removing playground.py. * rebasing * rebasing and removing playground.py. * chore: corrected copyright year and added comment on NHWC. * chore: fixed the black version and ran formatting. * chore: ran make style. * chore: removed from_pt argument from test, ran make style. * rebasing * rebasing and removing playground.py. * rebasing * rebasing and removing playground.py. * fix: tests in the convnext subclass, ran make style. * rebasing * rebasing and removing playground.py. * rebasing * rebasing and removing playground.py. * chore: moved convnext test to the correct location * fix: locations for the test file of convnext. * fix: convnext tests. * chore: applied sgugger's suggestion for dealing w/ output_attentions. * chore: added comments. * chore: applied updated quality enviornment style. * chore: applied formatting with quality enviornment. * chore: revert to the previous tests/test_modeling_common.py. * chore: revert to the original test_modeling_common.py * chore: revert to previous states for test_modeling_tf_common.py and modeling_tf_utils.py * fix: tests for convnext. * chore: removed output_attentions argument from convnext config. * chore: revert to the earlier tf utils. * fix: output shapes of the hidden states * chore: removed unnecessary comment * chore: reverting to the right test_modeling_tf_common.py. * Styling nits Co-authored-by:
ariG23498 <aritra.born2fly@gmail.com> Co-authored-by:
Joao Gante <joao@huggingface.co> Co-authored-by:
Sylvain Gugger <Sylvain.gugger@gmail.com> * minor changes * doc fix in feature extractor * doc * typose * removed detr logic from config * removed detr logic from config * removed num_labels * small fix in the config * auxilary -> auxiliary * make style * some test is failing * fix a weird char in config prevending doc-builder * retry to fix the doc-builder issue * make style * new try to fix the doc builder * CI * change weights to facebook Co-authored-by:
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Patrick von Platen authored
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Michael Benayoun authored
* Add M2M100 support for ONNX export * Delete useless imports * Add M2M100 to tests * Fix protobuf issue
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- 01 Mar, 2022 4 commits
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Steven Liu authored
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📝 first draft for multilingual models *🖍 make style -
NielsRogge authored
Co-authored-by: -
Patrick von Platen authored
* [Benchmark tools] Deprecate all * up
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Eduardo Gonzalez Ponferrada authored
* Add data2vec model cloned from roberta * Add checkpoint conversion script * Fix copies * Update docs * Add checkpoint conversion script * Remove fairseq data2vec_text script and fix format * Add comment on where to get data2vec_text.py * Remove mock implementation cheat.py and fix style * Fix copies * Remove TF and Flax classes from init * Add back copy from fairseq data2vec_text.py and fix style * Update model name in docs/source/index.mdx to be CamelCase * Revert model name in table to lower-case to get check_table test to pass * Update src/transformers/models/data2vec/__init__.py Co-authored-by:
Eduardo Gonzalez Ponferrada <eduardo@ferrumhealth.com> Co-authored-by:
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- 28 Feb, 2022 1 commit
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Sanchit Gandhi authored
* rebase * Delete shift tokens func * downsample decoder input seq len for init * correct attention mask * add tests * pt flax cross test * make fixup * init file for import * change pt-flax cross test threshold * pt-flax test logits only * move tests * make repo-consistency * consistent indentation Co-authored-by:
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- 25 Feb, 2022 3 commits
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Sayak Paul authored
* feat: initial implementation of convnext in tensorflow. * fix: sample code for the classification model. * chore: added checked for from the classification model. * chore: set bias initializer in the classification head. * chore: updated license terms. * chore: removed ununsed imports * feat: enabled argument during using drop_path. * chore: replaced tf.identity with layers.Activation(linear). * chore: edited default checkpoint. * fix: minor bugs in the initializations. * partial-fix: tf model errors for loading pretrained pt weights. * partial-fix: call method updated * partial-fix: cross loading of weights (4x3 variables to be matched) * chore: removed unneeded comment. * removed playground.py * rebasing * rebasing and removing playground.py. * fix: renaming TFConvNextStage conv and layer norm layers * chore: added initializers and other minor additions. * chore: added initializers and other minor additions. * add: tests for convnext. * fix: integration tester class. * fix: issues mentioned in pr feedback (round 1). * fix: how output_hidden_states arg is propoagated inside the network. * feat: handling of arg for pure cnn models. * chore: added a note on equal contribution in model docs. * rebasing * rebasing and removing playground.py. * feat: encapsulation for the convnext trunk. * Fix variable naming; Test-related corrections; Run make fixup * chore: added Joao as a contributor to convnext. * rebasing * rebasing and removing playground.py. * rebasing * rebasing and removing playground.py. * chore: corrected copyright year and added comment on NHWC. * chore: fixed the black version and ran formatting. * chore: ran make style. * chore: removed from_pt argument from test, ran make style. * rebasing * rebasing and removing playground.py. * rebasing * rebasing and removing playground.py. * fix: tests in the convnext subclass, ran make style. * rebasing * rebasing and removing playground.py. * rebasing * rebasing and removing playground.py. * chore: moved convnext test to the correct location * fix: locations for the test file of convnext. * fix: convnext tests. * chore: applied sgugger's suggestion for dealing w/ output_attentions. * chore: added comments. * chore: applied updated quality enviornment style. * chore: applied formatting with quality enviornment. * chore: revert to the previous tests/test_modeling_common.py. * chore: revert to the original test_modeling_common.py * chore: revert to previous states for test_modeling_tf_common.py and modeling_tf_utils.py * fix: tests for convnext. * chore: removed output_attentions argument from convnext config. * chore: revert to the earlier tf utils. * fix: output shapes of the hidden states * chore: removed unnecessary comment * chore: reverting to the right test_modeling_tf_common.py. * Styling nits Co-authored-by:
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Sylvain Gugger authored
* Re-enable doctests for the quicktour * Re-enable doctests for task_summary (#15830) * Remove &
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Tanay Mehta authored
* Added model specific output classes to poolformer docs * Fixed Segformer typo in Poolformer docs
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- 23 Feb, 2022 3 commits
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Steven Liu authored
* clean commit of changes to NLP tasks *
🖍 apply feedback *📝 move tf data collator in multiple choice Co-authored-by:Steven <stevhliu@gmail.com>
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Julien Chaumond authored
* custom_models: tiny doc addition * mention security feature earlier in the section Co-authored-by:Steven Liu <59462357+stevhliu@users.noreply.github.com>
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Nicolas Patry authored
* [Proposal] Adding ZeroShotImageClassificationPipeline - Based on CLIP * WIP, Resurection in progress. * Resurrection... achieved. * Reword handling different `padding_value` for `feature_extractor` and `tokenizer`. * Thanks doc-builder ! * Adding docs + global namespace `ZeroShotImageClassificationPipeline`. * Fixing templates. * Make the test pass and be robust to floating error. * Adressing suraj's comments on docs mostly. * Tf support start. * TF support. * Update src/transformers/pipelines/zero_shot_image_classification.py Co-authored-by:
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