- 04 Jan, 2023 1 commit
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Jongjyh authored
* add altclip * update * fix wrong title * fix the copyright in readme * add altclip model * add altclip * fix test_gradient_checkpointing_enable_disable * code * add return class * add projection_state * "fix pretrained model bug" * delete print and fix 2 test instances. * delete token * rm xlmr * one model one file. * empty commit to trigger CI * Fix modeling_outputs.py * Fix __init__ * Fix quality * Fix modeling file docstring * Fix README.md * Fix test file * add vision model * empty commit to trigger CI * fix * fix * fix * fix * fix * fix * fix * fix * fix * del token in mdx file * fix * fix * fix * remove altrob from test list * add vision test * fix fx * fix * fix * fix * trigger CI * fix copies * fix tests * fix style * fix quality * update * recover import * recover * add , * recover * fix copies * trigger CI * fix * some of review * update * remove import * last 2 * fix * fix style * fix style * fix bug * fix uncomment * fix * update * fix * second review * empty commit to trigger CI * empty commit to trigger CI * fix position * fix * empty commit to trigger CI * empty commit to trigger CI * third comment * Update docs/source/en/model_doc/altclip.mdx Co-authored-by:
Yih-Dar <2521628+ydshieh@users.noreply.github.com> * Update docs/source/en/model_doc/altclip.mdx Co-authored-by:
shunxing1234 <xw747777271@gmail.com> Co-authored-by:
ydshieh <ydshieh@users.noreply.github.com> Co-authored-by:
shunxing1234 <33774367+shunxing1234@users.noreply.github.com> Co-authored-by:
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- 03 Jan, 2023 1 commit
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NielsRogge authored
* First draft * Make model instantiation work * Fix copied from statement * More fixes * Add correct output head * Improve configuration * Add conversion script * Improve conversion script * Remove token_type_ids * Fix conversion of projection layers * Convert all weights * Use cats image * Make logits match * Generate caption on cats image * Add GITProcessor * Update conversion script * Add support for more checkpoints * Fix conversion script * Add initial tests * Remove cross-attention * More improvements * Remove is_decoder * Improve model tests * Improve tests * Improve model outputs * Fix model outputs equivalence * Fix more tests * Remove unused code * Use generate to generate text, no use of cache for now * Use generate more appropriately * Fix config tests * Fix style * Add support for use_cache Co-authored-by:
Joao Gante <joaofranciscocardosogante@gmail.com> * Fix style * Fix GIT vision encoder * Update README * Fix integration test * Set bos and eos token ids * Improve docs * Improve code * Add support for provided attention_mask * Add copied from statement * Fix gradient checkpointing test * Set model_input_names * Investigate model_input_names * Remove script * Fix model inputs * Fix docstring * Rename GIT to Git * Support more models * Add support for textvqa model * Add video support * Extend conversion script for video * Add support for large variant * Add support for more models * Fix config archive map * Update integration test * Fix README * Fix CLIP mean and std * Update processor * Fix use_cache for video, thanks @gante * Remove print statements * Remove assertion * Add processor tests * Fix model_input_names * Use Auto API for processor * Fix processor tests * Fix integration test * Fix pipeline test * Make tests faster * Update conversion script * Update conversion script * Convert more checkpoints * Update conversion script * Fix typo * Update docstrings * Improve code snippets * Fix doc tests * Add more code examples茅 * Fix doc tests * Add integration tests * Fix unused variable * revert * Add GIT to Japanese README Co-authored-by:
Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> Co-authored-by:
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- 21 Dec, 2022 1 commit
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Younes Belkada authored
* add new model like * add v1 * v1 * v1 * vision encoder logits match * v2 * fix * add docstring * CI tests pass * fix tests * make fixup * add to `toctree` * fix processors * fix processors * fix doc * fill title * add content doc * remove from tokenization auto * fix config * change order * add `# Copied from` * few fixes - add correct license on modeling text - remove dummy argument * Apply suggestions from code review Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * replace name * refactor a bit * more refactor * remove unused arg * make fixup + remove some `# Adapted from ...` * Apply suggestions from code review Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * add `blip` to tokenization auto * fix docstrings * fix test + add image * remove processor from uncorrect place * Apply suggestions from code review Co-authored-by:
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- 19 Dec, 2022 1 commit
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Andreas Madsen authored
* Copy RoBERTa * formatting * implement RoBERTa with prelayer normalization * update test expectations * add documentation * add convertion script for DinkyTrain weights * update checkpoint repo Unfortunately the original checkpoints assumes a hacked roberta model * add to RoBERTa-PreLayerNorm docs to toc * run utils/check_copies.py * lint files * remove unused import * fix check_repo reporting wrongly a test is missing * fix import error, caused by rebase * run make fix-copies * add RobertaPreLayerNormConfig to ROBERTA_EMBEDDING_ADJUSMENT_CONFIGS * Fix documentation <Facebook> -> Facebook Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * fixup: Fix documentation <Facebook> -> Facebook Co-authored-by:
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- 16 Dec, 2022 2 commits
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NielsRogge authored
* First draft * Add more improvements * Improve forward pass * Fix layernorm * Add upscaler * More improvements * More improvements * More improvements * Improve conversion script * Add preprocessing * Make output match original implementation * Add additional attributes * Add support for more models * Support more models * Add support for real world sr * Add initial Swin2SRFeatureExtractor * Add ImageSuperResolutionOutput * Make more tests pass * Use BaseModelOutput * Fix one more test * Fix more tests * Fix another test * Fix all tests * Rename to Swin2SRImageProcessor * Fix toctree * Fix toctree * Fix rebase * Improve Swin2SRImageProcessor * Remove feature extractor file * Improve model * Improve conversion script * Fix integration test * Fix init * Fix conversion script * Address comments * Improve upsampler * Add NearestConvUpsampler * Improve pixel shuffle upsampler * Improve auxiliary upsampler * Improve conversion script * Rename conv_last to final_convolution * Fix rebase * Improve upsample module * Add padding to image processor * Fix bug * Update padding * Remove print statement and fix integration test * Improve docs * Add image processor tests * Convert all checkpoints, fix tests茅 * Remove print statements * Fix import Co-authored-by: -
NielsRogge authored
* Add mapping * Add mapping to pipeline * Apply suggestions * Fix feature extractor tests * Use ForInstance, add model to universal mapping * More fixes * Remove model from deprecated objects茅 Co-authored-by:
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- 14 Dec, 2022 1 commit
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NielsRogge authored
* Add Swin backbone * Remove line * Add code example Co-authored-by:
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- 13 Dec, 2022 1 commit
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NielsRogge authored
* Add first draft * Add out_features attribute to config * Add corresponding test * Add Dinat backbone * Add BackboneMixin * Add Backbone mixin, improve tests * Fix embeddings * Fix bug * Improve backbones * Fix Nat backbone tests * Fix Dinat backbone tests * Apply suggestions Co-authored-by:
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- 12 Dec, 2022 1 commit
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Ariel Ekgren authored
* Add templates for gpt-sw3 * Add templates for gpt-sw3 * Added sentencepiece tokenizer * intermediate commit with many changes * fixed conflicts * Init commit for tokenization port * Tokenization progress * Remove fast tokenizer * Clean up and rename spm.model -> spiece.model * Remove TF -> PT conversion script template, Clean up Megatron -> PT script * Optimize encode & decode performance * added new attention * added new attention * attention for gpt-sw3 working * attention good * Cache is now working * fixed attention mask so that it works with causal attention * fixed badbmm bug for cpu and caching * updated config with correct parameters * Refactor and leave optimizations as separate functions to avoid breaking expected functionality * Fix special tokens mapping for both tokenizers * cleaning up of code and comments * HF compatible attention outputs * Tokenizer now passing tests, add documentation * Update documentation * reverted back to base implementation after checking that it is identical to pretrained model * updated gpt-sw3 config * updated conversion script * aligned parameters with gpt-sw3 config * changed default scale_attn_by_inverse_layer_idx to true * removed flag from conversion script * added temporary model path * reverted back to functioning convert script * small changes to default config * updated tests for gpt-sw3 * make style, make quality, minor cleanup * Change local paths to testing online repository * Change name: GptSw3 -> GPTSw3 * Remove GPTSw3TokenizerFast references * Use official model repository and add more model sizes * Added reference to 6.7b model * Add GPTSw3DoubleHeadsModel to IGNORE_NON_AUTO_CONFIGURED, like GPT2DoubleHeadsModel * Remove pointers to non-existing TFGPTSw3 * Add GPTSw3 to docs/_toctree.yml * Remove TF artifacts from GPTSw3 in __init__ files * Update README:s with 'make fix-copies' * Add 20b model to archive list * Add documentation for GPT-Sw3 * Fix typo in documentation for GPT-Sw3 * Do 'make fix-copies' again after having updated docs * Fix some typos in docs * Update src/transformers/models/gpt_sw3/configuration_gpt_sw3.py Co-authored-by:
JoeyOhman <joeyoh@kth.se> Co-authored-by:
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- 07 Dec, 2022 1 commit
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NielsRogge authored
* First draft * More improvements * Add backbone, first draft of ViT hybrid * Add AutoBackbone * More improvements * Fix bug * More improvements * More improvements * Convert ViT-hybrid * More improvements * add patch bit * Fix style * Improve code * cleaned v1 * more cleaning * more refactoring * Improve models, add tests * Add docs and tests * Make more tests pass * Improve default backbone config * Update model_type * Fix more tests * Add more copied from statements * More improvements * Add push to hub to conversion scripts * clean * more cleanup * clean * replace to * fix * Update src/transformers/models/bit/configuration_bit.py Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * remove comment * remove comment * replace * replace * remove all conv_layer * refactor norm_layer * revert x * add copied from * last changes + integration tests * make fixup * Apply suggestions from code review Co-authored-by:
younesbelkada <younesbelkada@gmail.com> Co-authored-by:
Younes Belkada <49240599+younesbelkada@users.noreply.github.com> Co-authored-by:
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- 30 Nov, 2022 1 commit
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Yang An authored
* init chinese-clip model from clip * init model tests and docs * implement chinese-clip into hf * implement chinese-clip into hf * implement chinese-clip into hf * implement chinese-clip into hf * implement chinese-clip into hf * update usecase example in model implementation * fix codestyle * fix model_type typo in readme * add placeholder in doc * add placeholder in doc * update the init script * update usecase * fix codestyle * update testcase * update testcase * update testcase * update testcase * update testcase * update testcase * update testcase * update testcase * update testcase * update testcase * update testcase * update testcase * forward the convert_rgb * update testcase * update testcase * update testcase * merge the recent update from clip about model_input_name property * update the doc * update the doc * update the doc * update the doc * remove unused imports * reformat code style * update the doc * fix isort style * bypass a weird failed unit test which is unrelated with my PR * update the doc * implement independent vision config class * implement independent vision model class * fix refactor bug * fix refactor bug * fix refactor bug * make style * fix refactor bug * make style * fix refactor bug * fix refactor bug * make style * fix refactor bug * fix refactor bug * doc-build restyle * implement independent text config class * implement independent text model class * implement independent text model class * make style * make fix-copies * fix refactor bug * fix refactor bug * fix refactor bug * fix refactor bug * fix refactor bug * fix refactor bug * fix refactor bug * fix refactor bug * fix refactor bug * fix refactor bug * make style * update doc * black and isort * update doc * Update src/transformers/models/chinese_clip/configuration_chinese_clip.py Co-authored-by:
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- 28 Nov, 2022 2 commits
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NielsRogge authored
* First draft * Fix backwards compatibility * More fixes * More fixes * Make backbone more general * Improve backbone * Improve test * Fix config checkpoint * Address comments * Use model_type * Address more comments * Fix special model names * Remove MaskFormerSwinModel and MaskFormerSwinPreTrainedModel from main init * Fix typo * Update backbone * Apply suggestion Co-authored-by: -
NielsRogge authored
* Add hidden states and attentions to backbone outputs * Update ResNet * Fix more tests * Debug test * Fix test_determinism * Fix test_save_load * Remove file * Disable fx tests * Test * Add fx support for backbones Co-authored-by:
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- 17 Nov, 2022 1 commit
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NielsRogge authored
* Add ResNetBackbone * Define channels and strides as property * Remove file * Add test for backbone * Update BackboneOutput class * Remove strides property * Fix docstring * Add backbones to SHOULD_HAVE_THEIR_OWN_PAGE * Fix auto mapping name * Add sanity check for out_features * Set stage names based on depths * Update to tuple Co-authored-by:
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- 15 Nov, 2022 2 commits
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Suraj Patil authored
* allow loading projection in text and vision model * begin tests * finish test for CLIPTextModelTest * style * add slow tests * add new classes for projection heads * remove with_projection * add in init * add in doc * fix tests * fix some more tests * fix copies * fix docs * remove leftover from fix-copies * add the head models in IGNORE_NON_AUTO_CONFIGURED * fix docstr * fix tests * Apply suggestions from code review Co-authored-by:
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Younes Belkada authored
* first commit * add more comments * add router v1 * clean up - remove `tf` modeling files * clean up - remove `tf` modeling files * clean up * v0 routers * added more router - Implemented `ExpertsChooseMaskedRouter` - added tests - 2 more routers to implement * last router * improved docstring - completed the docstring in `router.py` - added more args in the config * v0 sparse mlp * replace wrong naming * forward pass run * update MOE layer * small router update * fixup * consistency * remove scatter router * remove abstract layer * update test and model for integration testing * v1 conversion * update * hardcode hack * all keys match * add gin conversion, without additional libraries * update conversion sctipy * delete router file * update tests wrt router deletion * fix router issues * update expert code * update, logits match, code needsREFACTORING * Refactor code Co-authored-by:
Younes Belkada <younesbelkada@users.noreply.github.com> * add generate tests Co-authored-by:
Arthur Zucker <arthur.zucker@gmail.com> Co-authored-by:
ybelkada <younes@huggingface.co> Co-authored-by:
Arthur Zucker <arthur@huggingface.co>
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- 10 Nov, 2022 1 commit
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Arthur authored
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- 08 Nov, 2022 1 commit
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NielsRogge authored
* Add first draft * Update conversion script * Improve conversion script * Improve conversion script some more * Add conditional embeddings * Add initial decoder * Fix activation function of decoder * Make decoder outputs match original implementation * Make decoder outputs match original implementation * Add more copied from statements * Improve model outputs * Fix auto tokenizer file * Fix more tests * Add test * Improve README and docs, improve conditional embeddings * Fix more tests * Remove print statements * Remove initial embeddings * Improve conversion script * Add interpolation of position embeddings * Finish addition of interpolation of position embeddings * Add support for refined checkpoint * Fix refined checkpoint * Remove unused parameter * Improve conversion script * Add support for training * Fix conversion script * Add CLIPSegFeatureExtractor * Fix processor * Fix CLIPSegProcessor * Fix conversion script * Fix most tests * Fix equivalence test * Fix README * Add model to doc tests * Use better variable name * Convert other checkpoint as well * Update config, add link to paper * Add docs * Update organization * Replace base_model_prefix with clip * Fix base_model_prefix * Fix checkpoint of config * Fix config checkpoint * Remove file * Use logits for output * Fix tests Co-authored-by:
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- 01 Nov, 2022 1 commit
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Matt authored
* initial commit * First draft that gets outputs without crashing! * Add all the ported openfold dependencies * testing * Restructure config files for ESMFold * Debugging to find output discrepancies * Mainly style * Make model runnable without extra deps * Remove utils and merge them to the modeling file * Use correct gelu and remove some debug prints * More cleanup * Update esm docs * Update conversion script to support ESMFold properly * Port some top-level changes from ESMFold repo * Expand EsmFold docstrings * Make attention_mask optional (default to all 1s) * Add inference test for ESMFold * Use config and not n kwargs * Add modeling output class * Remove einops * Remove chunking in ESM FFN * Update tests for ESMFold * Quality * REpo consistency * Remove tree dependency from ESMFold * make fixup * Add an error in case my structure map function breaks later * Remove needless code * Stop auto-casting the LM to float16 so CPU tests pass * Stop auto-casting the LM to float16 so CPU tests pass * Final test updates * Split test file * Copyright and quality * Unpin PyTorch to see built doc * Fix config file to_dict() method * Add some docstrings to the output * Skip TF checkpoint tests for ESM until we reupload those * make fixup * More docstrings * Unpin to get even with main * Flag example to write Co-authored-by:Sylvain Gugger <Sylvain.gugger@gmail.com>
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- 18 Oct, 2022 1 commit
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NielsRogge authored
* First draft * Add conversion script * Make conversion work * Upload checkpoints * Add final fixes * Revert changes of conditional and deformable detr * Fix toctree, add and remove copied from * Use model type * Improve docs * Improve code example * Update copies * Add copied formt * Don't update conditional detr * Don't update deformable detr
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- 10 Oct, 2022 1 commit
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amyeroberts authored
* simplify loop * add featur extractor * add model * start conversion * add dropout * initial commit of test files * copnversion for all models * update processor for correct padding * update feature extraction * update integration test logits match * fmnt: off for the logits * on the fly mel bank * small nit * update test * update tokenizer * nit feature extraction * update * update tokenizer test * adds logit processor and update tokenizer to get supress tokens * style * clean convert * revert to original modeling tf utils * Update * update * nit * clean convert file * update tests and nits * quality * slow generation test * ffn_dim to allow customization * update readme * add to toctreee * start fixing integration tests * update tests and code * fix feature extractor * fix config tests common * update code to fix tests * fix feature exctractor * nit feature extraction * update test for new feature extractor * style * add absrtact * large logits wioth custom decoder input ids * wraap around is otrch available * fix feature extractor * correct logits for whisper small.en * nit * fix encoder_attentino_mask * some fixes * remove unnecessary inputs * nits * add normalizer file * update etst tokenization * fix attention mask not defined * fix generate * remove uncoder attention mask useless * update test modeling whisper * update condfig to add second non supress tokens * nits on feature exrtactor * nit for test tokenizers * update etsts * update tests * update tokenization test * fixup * invalidated hf token. Clean convert openai to whisper * fix logit tests * fixup * Add model to README * Fix doc tests * clean merge * revert toc_tree changes * remove useless LogitProcessor * Update whisper .mdx * update config file doc * update configuration docstring * update test tokenization * update test tokenization * update tokenization whisper Added copied from where needed * update feature extraction * nit test name * style * quality * remove get suppress tokens and update non_speech tokens global variables * Update src/transformers/models/whisper/feature_extraction_whisper.py Co-authored-by:
Matt <Rocketknight1@users.noreply.github.com> * Remove changes to adjust_logits_during_generation function * Update src/transformers/models/whisper/modeling_tf_whisper.py Co-authored-by:
NielsRogge <niels.rogge1@gmail.com> Co-authored-by:
Joao Gante <joao@huggingface.co>
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- 05 Oct, 2022 1 commit
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Arthur authored
* simplify loop * add featur extractor * add model * start conversion * add dropout * initial commit of test files * copnversion for all models * update processor for correct padding * update feature extraction * update integration test logits match * fmnt: off for the logits * on the fly mel bank * small nit * update test * update tokenizer * nit feature extraction * update * update tokenizer test * adds logit processor and update tokenizer to get supress tokens * style * clean convert * revert to original modeling tf utils * Update * update * nit * clean convert file * update tests and nits * quality * slow generation test * ffn_dim to allow customization * update readme * add to toctreee * start fixing integration tests * update tests and code * fix feature extractor * fix config tests common * update code to fix tests * fix feature exctractor * nit feature extraction * update test for new feature extractor * style * add absrtact * large logits wioth custom decoder input ids * wraap around is otrch available * fix feature extractor * correct logits for whisper small.en * nit * fix encoder_attentino_mask * some fixes * remove unnecessary inputs * nits * add normalizer file * update etst tokenization * fix attention mask not defined * Add model to README * Fix doc tests * fix generate * remove uncoder attention mask useless * update test modeling whisper * update condfig to add second non supress tokens * nits on feature exrtactor * nit for test tokenizers * update etsts * update tests * update tokenization test * fixup * invalidated hf token. Clean convert openai to whisper * fix logit tests * fixup * clean merge * revert toc_tree changes * remove useless LogitProcessor * Update whisper .mdx * update config file doc * update configuration docstring * update test tokenization * update test tokenization * update tokenization whisper Added copied from where needed * update feature extraction * nit test name * style * quality * remove get suppress tokens and update non_speech tokens global variables * Update src/transformers/models/whisper/feature_extraction_whisper.py Co-authored-by:
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- 30 Sep, 2022 1 commit
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Kashif Rasul authored
* initial files * initial model via cli * typos * make a start on the model config * ready with configuation * remove tokenizer ref. * init the transformer * added initial model forward to return dec_output * require gluonts * update dep. ver table and add as extra * fixed typo * add type for prediction_length * use num_time_features * use config * more config * typos * opps another typo * freq can be none * default via transformation is 1 * initial transformations * fix imports * added transform_start_field * add helper to create pytorch dataloader * added inital val and test data loader * added initial distr head and loss * training working * remove TimeSeriesTransformerTokenizer Co-authored-by:
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- 29 Sep, 2022 1 commit
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Aritra Roy Gosthipaty authored
* chore: initial commit * chore: adding util methods yet to work on the nn.functional.interpolate port with align_corener=True * chore: refactor the utils * used tf.compat.v1.image.resize to align the F.interpolate function * added type hints to the method signatures * added references to the gists where one 2 one alignment of torch and tf has been shown * chore: adding the layers * chore: porting all the layers from torch to tf This is the initial draft, nothing is tested yet. * chore: aligning the layers with reference to tf clip * chore: aligning the modules * added demaraction comments * added copied and adapted from comments * chore: aligning with CLIP * chore: wrangling the layers to keep it tf compatible * chore: aligning the names of the layers for porting * chore: style changes * chore: adding docs and inits * chore: adding tfp dependencis the code is taken from TAPAS * chore: initial commit for testing * chore: aligning the vision embeddings with the vit implementatino * chore: changing model prefix * chore: fixing the name of the model and the layer normalization test case * chore: every test passes but the slow ones * chore: fix style and integration test * chore: moving comments below decorators * chore: make fixup and fix-copies changes * chore: adding the Vision and Text Model to check_repo * chore: modifying the prefix name to align it with the torch implementation * chore: fix typo in configuration * choer: changing the name of the model variable * chore: adding segmentation flag * chore: gante's review * chore: style refactor * chore: amy review * chore: adding shape_list to parts that have been copied from other snippets * chore: init batchnorm with torch defaults * chore: adding shape_list to pass the tests * test fix: adding seed as 0 * set seed * chore: changing the straight through trick to fix -ve dimensinos * chore: adding a dimension to the loss * chore: adding reviewers and contributors names to the docs * chore: added changes after review * chore: code quality fixup * chore: fixing the segmentation snippet * chore: adding to the layer calls * chore: changing int32 to int64 for inputs of serving * chore: review changes * chore: style changes * chore: remove from_pt=True * fix: repo consistency Co-authored-by:
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- 22 Sep, 2022 1 commit
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DepuMeng authored
* added conditional_detr files * checked copies * checked copies * fixed style and copies * fixed style and copies * fixed hub * fixed style * Update README.md Co-authored-by:
Depu Meng <depumeng@Depus-MacBook-Pro.local>
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- 14 Sep, 2022 1 commit
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NielsRogge authored
* First draft * More improvements * Improve model, add custom CUDA code * Import torch before * Add script that imports custom layer * Add everything in new ops directory * Import custom layer in modeling file * Fix ARCHIVE_MAP typo * Creating the custom kernel on the fly. * Import custom layer in modeling file * More improvements * Fix CUDA loading * More improvements * Improve conversion script * Improve conversion script * Make it work until encoder_outputs * Make forward pass work * More improvements * Make logits match original implementation * Make implementation also support single_scale model * Add support for single_scale and dilation checkpoint * Add support for with_box_refine model * Support also two stage model * Improve tests * Fix more tests * Make more tests pass * Upload all models to the hub * Clean up some code * Improve decoder outputs * Rename intermediate hidden states and reference points * Improve model outputs * Move tests to dedicated folder * Improve model outputs * Fix retain_grad test * Improve docs * Clean up and make test_initialization pass * Improve variable names * Add copied from statements * Improve docs * Fix style * Improve docs * Improve docs, move tests to model folder * Fix rebase * Remove DetrForSegmentation from auto mapping * Apply suggestions from code review * Improve variable names and docstrings * Apply some more suggestions from code review * Apply suggestion from code review * better docs and variables names * hint to num_queries and two_stage confusion * remove asserts and code refactor * add exception if two_stage is True and with_box_refine is False * use f-strings * Improve docs and variable names * Fix code quality * Fix rebase * Add require_torch_gpu decorator * Add pip install ninja to CI jobs * Apply suggestion of @sgugger * Remove DeformableDetrForObjectDetection from auto mapping * Remove DeformableDetrModel from auto mapping * Add model to toctree * Add model back to mappings, skip model in pipeline tests * Apply @sgugger's suggestion * Fix imports in the init * Fix copies * Add CPU implementation * Comment out GPU function * Undo previous change * Apply more suggestions * Remove require_torch_gpu annotator * Fix quality * Add logger.info * Fix logger * Fix variable names * Fix initializaztion * Add missing initialization * Update checkpoint name * Add model to doc tests * Add CPU/GPU equivalence test * Add Deformable DETR to pipeline tests * Skip model for object detection pipeline Co-authored-by:
Nicolas Patry <patry.nicolas@protonmail.com> Co-authored-by:
Nouamane Tazi <nouamane98@gmail.com> Co-authored-by:
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- 08 Sep, 2022 1 commit
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NielsRogge authored
* First draft * Improve conversion script * Make vision encoder work * More improvements * Improve conversion script * Fix quality * Add MultiframeIntegrationTransformer * More improvements * Make MiT output work * Fix quality * Add prompts generator * Add tests * Fix some tests * Fix some more tests * Fix more tests * Improve conversion script * Fix model outputs * Fix more tests * Add XClipProcessor * Use processor in conversion script * Fix integration test * Update README, fix docs * Fix all tests * Add MIT output to XClipOutput * Create better variable names * Rename XClip to XCLIP * Extend conversion script * Add support for large models * Add support for 16 frame models * Add another model' * Fix module issue * Apply suggestions from code review * Add figure to docs * Fix CLIPProcessor issue * Apply suggestions from code review * Delete file * Convert more checkpoints * Convert last checkpoint * Update nielsr to microsoft
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- 02 Sep, 2022 1 commit
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Jason Phang authored
* PegasusX Initial commit * rename * pegasus X implementation * pegx update * pegx fix * pegasus-x fixes * pegx updates * cleanup * cleanup * cleanup * tests * stylefixes * Documentation update * Model hub fix * cleanup * update * update * testfix * Check fix * tweaks for merging * style * style * updates for pr * style * change pegasus-x repo
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- 31 Aug, 2022 1 commit
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Ankur Goyal authored
* Add LayoutLMForQuestionAnswering model * Fix output * Remove TF TODOs * Add test cases * Add docs * TF implementation * Fix PT/TF equivalence * Fix loss * make fixup * Fix up documentation code examples * Fix up documentation examples + test them * Remove LayoutLMForQuestionAnswering from the auto mapping * Docstrings * Add better docstrings * Undo whitespace changes * Update tokenizers in comments * Fixup code and remove `from_pt=True` * Fix tests * Revert some unexpected docstring changes * Fix tests by overriding _prepare_for_class Co-authored-by:Ankur Goyal <ankur@impira.com>
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- 30 Aug, 2022 1 commit
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NielsRogge authored
Co-authored-by:
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- 12 Aug, 2022 1 commit
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NielsRogge authored
* First draft * Improve script * Update script * Make conversion work * Add final_layer_norm attribute to Swin's config * Add DonutProcessor * Convert more models * Improve feature extractor and convert base models * Fix bug * Improve integration tests * Improve integration tests and add model to README * Add doc test * Add feature extractor to docs * Fix integration tests * Remove register_buffer * Fix toctree and add missing attribute * Add DonutSwin * Make conversion script work * Improve conversion script * Address comment * Fix bug * Fix another bug * Remove deprecated method from docs * Make Swin and Swinv2 untouched * Fix code examples * Fix processor * Update model_type to donut-swin * Add feature extractor tests, add token2json method, improve feature extractor * Fix failing tests, remove integration test * Add do_thumbnail for consistency * Improve code examples * Add code example for document parsing * Add DonutSwin to MODEL_NAMES_MAPPING * Add model to appropriate place in toctree * Update namespace to appropriate organization Co-authored-by:
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- 08 Aug, 2022 1 commit
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Sylvain Gugger authored
* Clean up utils.hub * Remove imports * More fixes * Last fix
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- 26 Jul, 2022 1 commit
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gilad19 authored
* Add ViltForTokenClassification e.g. for Named-Entity-Recognition (NER) * Add ViltForTokenClassification e.g. for Named-Entity-Recognition (NER) * provide classifier only text hidden states * add test_for_token_classification * Update src/transformers/models/vilt/modeling_vilt.py Co-authored-by:
gfuchs <gfuchs@ebay.com> Co-authored-by:
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- 22 Jul, 2022 1 commit
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Alara Dirik authored
* add owlvit model skeleton * add class and box predictor heads * convert modified flax clip to pytorch * fix box and class predictors * add OwlViTImageTextEmbedder * convert class and box head checkpoints * convert image text embedder checkpoints * add object detection head * fix bugs * update conversion script * update conversion script * fix q,v,k,out weight conversion conversion * add owlvit object detection output * fix bug in image embedder * fix bugs in text embedder * fix positional embeddings * fix bug in inference mode vision pooling * update docs, init tokenizer and processor files * support batch processing * add OwlViTProcessor * remove merge conflicts * readd owlvit imports * fix bug in OwlViTProcessor imports * fix bugs in processor * update docs * fix bugs in processor * update owlvit docs * add OwlViTFeatureExtractor * style changes, add postprocess method to feature extractor * add feature extractor and processor tests * add object detection tests * update conversion script * update config paths * update config paths * fix configuration paths and bugs * fix bugs in OwlViT tests * add import checks to processor * fix docs and minor issues * fix docs and minor issues * fix bugs and issues * fix bugs and issues * fix bugs and issues * fix bugs and issues * update docs and examples * fix bugs and issues * update conversion script, fix positional embeddings * process 2D input ids, update tests * fix style and quality issues * update docs * update docs and imports * update OWL-ViT index.md * fix bug in OwlViT feature ext tests * fix code examples, return_dict by default * return_dict by default * minor fixes, add tests to processor * small fixes * add output_attentions arg to main model * fix bugs * remove output_hidden_states arg from main model * update self.config variables * add option to return last_hidden_states * fix bug in config variables * fix copied from statements * fix small issues and bugs * fix bugs * fix bugs, support greyscale images * run fixup * update repo name * merge OwlViTImageTextEmbedder with obj detection head * fix merge conflict * fix merge conflict * make fixup * fix bugs * fix bugs * add additional processor test
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- 21 Jul, 2022 1 commit
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Sayak Paul authored
* add: segformer utils and img. classification. * add: segmentation layer. * feat: working implementation of segformer. * chore: remove unused variable. * add test, remaining modifications. * remove: unnecessary files. * add: rest of the files. Co-authored-by:
matt <rocketknight1@gmail.com> * chore: remove ModuleList comment. * chore: apply make style. * chore: apply make fixup-copies. * add to check_repo.py * add decode head to IGNORE_NON_TESTED * chore: run make style. * chore: PR comments. * chore: minor changes to model doc. * tests: reduction across samples. * add a note on the space. * sort importats. * fix: reduction in loss computation. * chore: align loss function with that of NER. * chore: correct utils/documentation_tests.txt Co-authored-by:
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- 29 Jun, 2022 1 commit
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StevenTang1998 authored
* Add MVP model * Update README * Remove useless module * Update docs * Fix bugs in tokenizer * Remove useless test * Remove useless module * Update vocab * Remove specifying * Remove specifying * Add #Copied ... statement * Update paper link * Remove useless TFMvp * Add #Copied ... statement * Fix style in test mvp model * Fix some typos * Fix properties of unset special tokens in non verbose mode * Update paper link * Update MVP doc * Update MVP doc * Fix README * Fix typos in docs * Update docs
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- 28 Jun, 2022 1 commit
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Jerry Jiarui XU authored
* add group vit and fixed test (except slow) * passing slow test * addressed some comments * fixed test * fixed style * fixed copy * fixed segmentation output * fixed test * fixed relative path * fixed copy * add ignore non auto configured * fixed docstring, add doc * fixed copies * Apply suggestions from code review merge suggestions Co-authored-by:
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- 13 Jun, 2022 2 commits
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Daniel Stancl authored
* Initial commit * Make some fixes * Make PT model full forward pass * Drop TF & Flax implementation, fix copies etc * Add Flax model and update some corresponding stuff * Drop some TF things * Update config and flax local attn * Add encoder_attention_type to config * . * Update docs * Do some cleansing * Fix some issues -> make style; add some docs * Fix position_bias + mask addition + Update tests * Fix repo consistency * Fix model consistency by removing flax operation over attn_mask * [WIP] Add PT TGlobal LongT5 * . * [WIP] Add flax tglobal model * [WIP] Update flax model to use the right attention type in the encoder * Fix flax tglobal model forward pass * Make the use of global_relative_attention_bias * Add test suites for TGlobal model * Fix minor bugs, clean code * Fix pt-flax equivalence though not convinced with correctness * Fix LocalAttn implementation to match the original impl. + update READMEs * Few updates * Update: [Flax] improve large model init and loading #16148 * Add ckpt conversion script accoring to #16853 + handle torch device placement * Minor updates to conversion script. * Typo: AutoModelForSeq2SeqLM -> FlaxAutoModelForSeq2SeqLM * gpu support + dtype fix * Apply some suggestions from code review Co-authored-by:
phungvanduy <pvduy23@gmail.com> Co-authored-by:
patil-suraj <surajp815@gmail.com>
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Bram Vanroy authored
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- 07 Jun, 2022 1 commit
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Chan Woo Kim authored
* added cbs to notebooks, made copy-paste error fix in generation_utils * initial push for mctc model * mctc feature extractor done * added processor, tokenizer and their tests for MCTC. Have added an MCTC modeling test, adjusting model code accordingly. * added processor, tokenizer and their tests for MCTC. Have added an MCTC modeling test, adjusting model code accordingly. * passing attention, now struggling to figure out how attention masks make sense here * works when excluding attention masks. ask later how one would integrate attention maskshere * bizarre configuration error (model prefix comes first in config dict json and messes up the order) * all passing but bizzarre config dict ordering issue when to_dict * passing all major tests * feature extraction, processor, tokenizer added & tests passing * style & consistency & other logistical fixes * copy paste fix * model after feature extraction working * commiting final feature extraction results; need to fix normalization * feature extraction passing tests; probably should add tests on the specific flashlight-copied functions? * delete print ; format code a bit * fixing tests * passing major tests * fixing styles * completed tokenization test with real example; not sure if these values are entirely correct. * last test fixes from local * reverting accidentally included custom setup configs * remove load tf weights; fix config error * testing couldnt import featureextractor * fix docs * fix docs * resolving comments * style fixes * style fixes * Update to MCTCConv1dSubSampler Co-authored-by:
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