- 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:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * resolve comment, renaming model * delete unused attr * use fix copies * resolve comments * fixed attn * remove unused vars * refactor tests * resolve final comments * add demo notebook * fixed inconsitent default * Apply suggestions from code review Co-authored-by:
Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
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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:
Patrick von Platen <patrick.v.platen@gmail.com> * * Remove (de)parallelize stuff * Edit shape comments * Update README.md * make fix-copies * Remove caching logic for local & tglobal attention * Apply another batch of suggestions from code review * Add missing checkpoints * Format converting scripts * Drop (de)parallelize links from longT5 mdx * Fix converting script + revert config file change * Revert "Remove caching logic for local & tglobal attention" This reverts commit 2a619828f6ddc3e65bd9bb1725a12b77fa883a46. * Stash caching logic in Flax model * Make side relative bias used always * Drop caching logic in PT model * Return side bias as it was * Drop all remaining model parallel logic * Remove clamp statements * Move test files to the proper place * Update docs with new version of hf-doc-builder * Fix test imports * Make some minor improvements * Add missing checkpoints to docs * Make TGlobal model compatible with torch.onnx.export * Replace some np.ndarray with jnp.ndarray * Fix TGlobal for ONNX conversion + update docs * fix _make_global_fixed_block_ids and masked neg value * update flax model * style and quality * fix imports * remove load_tf_weights_in_longt5 from init and fix copies * add slow test for TGlobal model * typo fix * Drop obsolete is_parallelizable and one warning * Update __init__ files to fix repo-consistency * fix pipeline test * Fix some device placements * [wip]: Update tests -- need to generate summaries to update expected_summary * Fix quality * Update LongT5 model card * Update (slow) summarization tests * make style * rename checkpoitns * finish * fix flax tests 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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- 12 May, 2022 2 commits
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Sylvain Gugger authored
* Black preview * Fixup too! * Fix check copies * Use the same version as the CI * Bump black
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Younes Belkada authored
* First version - OPT model * Final changes - putting use cache to False * few changes - remove commented block * few changes - remove unecessary files * fix style issues * few changes - remove a test file - added the logits test * Update src/transformers/models/auto/tokenization_auto.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/__init__.py Co-authored-by:
Lysandre Debut <lysandre@huggingface.co> * make style * make tokenizer auto tests pass * apply Lysandre suggestion * finish tests * add some good tokenizer tests * improve docs slighly Co-authored-by:
ArthurZucker <arthur.zucker@gmail.com> Co-authored-by:
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- 11 May, 2022 1 commit
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Amanpreet Singh authored
* [WIP] Add FLAVA model This PR aims to add [FLAVA](ihttps://arxiv.org/abs/2112.04482) model to the transformers repo. Following checklist delineates the list of things to be done for this PR to be complete: [x] Flava init [x] Flava base models [x] Flava layers [x] Flava Configs [x] Flava encoders [x] Flava pretraining models [ ] Flava classification/retrieval models (To be added in a separate PR) [x] Documentation updates [x] Imports updates [x] Argstring updates [x] Flava pretrained checkpoints [x] Flava tests [x] Flava processors [x] Sanity check [x] Lint
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- 03 May, 2022 2 commits
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Yih-Dar authored
* move test model folders (TODO: fix imports and others) * fix (potentially partially) imports (in model test modules) * fix (potentially partially) imports (in tokenization test modules) * fix (potentially partially) imports (in feature extraction test modules) * fix import utils.test_modeling_tf_core * fix path ../fixtures/ * fix imports about generation.test_generation_flax_utils * fix more imports * fix fixture path * fix get_test_dir * update module_to_test_file * fix get_tests_dir from wrong transformers.utils * update config.yml (CircleCI) * fix style * remove missing imports * update new model script * update check_repo * update SPECIAL_MODULE_TO_TEST_MAP * fix style * add __init__ * update self-scheduled * fix add_new_model scripts * check one way to get location back * python setup.py build install * fix import in test auto * update self-scheduled.yml * update slack notification script * Add comments about artifact names * fix for yolos Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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Sanchit Gandhi authored
* [FlaxBert] Add ForCausalLM * make style * fix output attentions * Add RobertaForCausalLM * remove comment * fix fx-to-pt model loading * remove comment * add modeling tests * add enc-dec model tests * add big_bird * add electra * make style * make repo-consitency * add to docs * remove roberta test * quality * amend cookiecutter * fix attention_mask bug in flax bert model tester * tighten pt-fx thresholds to 1e-5 * add 'copied from' statements * amend 'copied from' statements * amend 'copied from' statements * quality
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- 28 Apr, 2022 1 commit
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Yih-Dar authored
* fix * Apply suggestions from code review Co-authored-by:
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- 27 Apr, 2022 1 commit
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Yih-Dar authored
Co-authored-by:
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- 18 Apr, 2022 1 commit
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Patrick von Platen authored
* save intermediate * add vision * add vision * save * finish models * finish models * continue * finish * up * up * up * tests all pass * clean up * up * up * fix bugs in beit * correct docs * finish * finish docs * make style * up * more fixes * fix type hint * make style * Apply suggestions from code review Co-authored-by:
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- 04 Apr, 2022 1 commit
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Sylvain Gugger authored
* Reorganize doc for multilingual support * Fix style * Style * Toc trees * Adapt templates
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- 28 Mar, 2022 1 commit
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NielsRogge authored
* First draft * More improvements * Add fusion blocks * Make conversion script work for dpt_large * Make conversion script work * Improve implementation * Improve conversion script * Add DPTForSemanticSegmentation * Make conversion work for semantic segmentation * Add tests * Remove print statements * First draft * Redesign neck * Improve tests * Improve implementation some more * Make neck output list of tensors * Improve neck and feature extractor * Fix integration tests * Make more tests pass * Make all tests pass * Add missing config archive map * Add in_index attribute to make heads accept list of tensors * Apply suggestions from code review * Apply suggestions from code review Co-authored-by:
Niels Rogge <nielsrogge@nielss-mbp.home>
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- 23 Mar, 2022 2 commits
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Edward Beeching authored
* Created the Decision Transformer Modle * updating tests, copy to other machine * Added last hidden size to Decision Transformer modelling outputs * Removed copy of original DT file * made a temporary change to gpt2 to have it conform with the Decision Transformer version * Updated tests * Ignoring a file used to test the DT model * added comments to config file * added comments and argument descriptions to decision transformer file * Updated doc * Ran "make style" * Remove old model imports * Removed unused imports, cleaned up init file * Update docs/source/model_doc/decision_transformer.mdx added my username Co-authored-by:
Clementine Fourrier <cfourrie@inria.fr> Co-authored-by:
matt <rocketknight1@gmail.com> * Moved DecisionTransformOutput to modeling_decision_transformer * Moved the example usage to research project and cleaned comments * Made tests ignore the copy of gpt2 in Decision Transformer * Added module output to modelling decision transformer * removed copied gpt2 model from list of transformers models * Updated tests and created __init__ file for new test location * Update README.md Co-authored-by:
✨ refactor code samples with framework-specific blocks *✨ update training.mdx *🖍 apply feedback * Updates the default branch from master to main (#16326) * Updates the default branch from master to main * Links from `master` to `main` * Typo * Update examples/flax/README.md Co-authored-by:Dan Tegzes <48134725+Tegzes@users.noreply.github.com> Co-authored-by:
Adam Montgomerie <adam@avanssion.com> Co-authored-by:
Clémentine Fourrier <22726840+clefourrier@users.noreply.github.com> Co-authored-by:
Francesco Saverio Zuppichini <francesco.zuppichini@gmail.com> Co-authored-by:
Jacob Dineen <54680234+jacobdineen@users.noreply.github.com> Co-authored-by:
Omar Sanseviero <osanseviero@gmail.com> Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> Co-authored-by:
Lysandre Debut <lysandre.debut@reseau.eseo.fr>
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Sylvain Gugger authored
* Split file_utils in several submodules * Fixes * Add back more objects * More fixes * Who exactly decided to import that from there? * Second suggestion to code with code review * Revert wront move * Fix imports * Adapt all imports * Adapt all imports everywhere * Revert this import, will fix in a separate commit
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- 22 Mar, 2022 1 commit
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NielsRogge authored
* First draft * Fix logits calculation * Improve tests * Add copied from statements * Fix base_model_prefix * Improve implementation, upload new models * Update design * Fix integration test * Add model to README and toctree * Add document image * Apply suggestions from code review * Apply suggestions from code review Co-authored-by:
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- 09 Mar, 2022 1 commit
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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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- 04 Mar, 2022 1 commit
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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:
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- 02 Mar, 2022 1 commit
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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:
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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- 01 Mar, 2022 1 commit
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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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- 23 Feb, 2022 1 commit
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Lysandre Debut authored
* Tests fetcher * Review comments Co-authored-by:
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- 18 Feb, 2022 1 commit
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Gunjan Chhablani authored
* Init PLBART * Add missing configuration file * Add conversion script and configurationf ile * Fix style * Update modeling and conversion scripts * Fix scale embedding in config * Add comment * Fix conversion script * Add classification option to conversion script * Fix vocab size in config doc * Add tokenizer files from MBart50 * Allow no lang code in regular tokenizer * Add PLBart Tokenizer Converters * Remove mask from multi tokenizer * Remove mask from multi tokenizer * Change from MBart-50 to MBart tokenizer * Fix names and modify src/tgt behavior * Fix imports for tokenizer * Remove <mask> from multi tokenizer * Fix style * Change tokenizer_class to processor_class * Add attribute map to config class * Update modeling file to modified MBart code * Update configuration file to MBart style configuration * Fix tokenizer * Separate tokenizers * Fix error in tokenization auto * Copy MBart tests * Replace with MBart tokenization tests * Fix style * Fix language code in multi tokenizer * Fix configuration docs * Add entry for plbart_multi in transformers init * Add dummy objects and fix imports * Fix modeling tests * Add TODO in config * Fix copyright year * Fix modeling docs and test * Fix some tokenization tests and style * Add changes from review * Fix copies * Fix docs * Fix docs * Fix style * Fix year * Add changes from review * Remove extra changes * Fix base tokenizer and doc * Fix style * Fix modeling and slow tokenizer tests * Remove Multi-tokenizer Converter and Tests * Delete QA model and Multi Tokenizer dummy objects * Fix repo consistency and code quality issues * Fix example documentation * Fix style * Remove PLBartTokenizer from type checking in init * Fix consistency issue * Add changes from review * Fix style * Remove PLBartTokenizerFast * Remove FastTokenizer converter * Fix AutoTokenzier mapping * Add plbart to toctree and fix consistency issues * Add language codes tokenizer test * Fix styling and doc issues * Add fixes for failing tests * Fix copies * Fix failing modeling test * Change assert to assertTrue in modeling tests
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- 04 Feb, 2022 1 commit
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Sylvain Gugger authored
* Standardize instance segmentation models outputs * Rename output * Update src/transformers/modeling_outputs.py Co-authored-by:
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- 28 Jan, 2022 1 commit
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Suraj Patil authored
* add xglm * update vocab size * fix model name * style and tokenizer * typo * no mask token * fix pos embed compute * fix args * fix tokenizer * fix positions * fix tokenization * style and dic fixes * fix imports * add fast tokenizer * update names * add pt tests * fix tokenizer * fix typo * fix tokenizer import * fix fast tokenizer * fix tokenizer * fix converter * add tokenizer test * update checkpoint names * fix tokenizer tests * fix slow tests * add copied from comments * rst -> mdx * flax model * update flax tests * quality * style * doc * update index and readme * fix copies * fix doc * update toctrr * fix indent * minor fixes * fix config doc * don't save embed_pos weights * Apply suggestions from code review Co-authored-by:
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- 19 Jan, 2022 1 commit
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NielsRogge authored
* First commit * Add conversion script * Make conversion script work for base model * More improvements * Update conversion script, works for vqa * Add indexing argument to meshgrid * Make conversion script work for ViltForPreTraining * Add ViltForPreTraining to docs * Fix device issue * Add processor * Add MinMaxResize to feature extractor * Implement call method of ViltProcessor * Fix tests * Add integration test * Add loss calculation for VQA * Improve tests * Improve some more tests * Debug tests * Small improvements * Add support for attention_mask * Remove mask_it * Add pixel_mask * Add tests for ViltFeatureExtractor * Improve tests * Add ViltForNaturalLanguageVisualReasoning * Add ViltForNaturalLanguageVisualReasoning to conversion script * Minor fixes * Add support for image_embeds, update docstrings to markdown * Update docs to markdown * Improve conversion script * Rename ViltForPreTraining to ViltForMaskedLM * Improve conversion script * Convert docstrings to markdown * Fix code example of retrieval model * Properly convert masked language model * Add integration test for nlvr * Fix code quality * Apply suggestions from code review * Add copied from statements * Fix pretrained_config_archive_map * Fix docs * Add model to README * Apply suggestions from code review Co-authored-by:
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- 18 Jan, 2022 1 commit
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Li-Huai (Allan) Lin authored
* REALM initial commit * Retriever OK (Update new_gelu). * Encoder prediction score OK * Encoder pretrained model OK * Update retriever comments * Update docs, tests, and imports * Prune unused models * Make embedder as a module `RealmEmbedder` * Add RealmRetrieverOutput * Update tokenization * Pass all tests in test_modeling_realm.py * Prune RealmModel * Update docs * Add training test. * Remove completed TODO * Style & Quality * Prune `RealmModel` * Fixup * Changes: 1. Remove RealmTokenizerFast 2. Update docstrings 3. Add a method to RealmTokenizer to handle candidates tokenization. * Fix up * Style * Add tokenization tests * Update `from_pretrained` tests * Apply suggestions * Style & Quality * Copy BERT model * Fix comment to avoid docstring copying * Make RealmBertModel private * Fix bug * Style * Basic QA * Save * Complete reader logits * Add searcher * Complete searcher & reader * Move block records init to constructor * Fix training bug * Add some outputs to RealmReader * Add finetuned checkpoint variable names parsing * Fix bug * Update REALM config * Add RealmForOpenQA * Update convert_tfrecord logits * Fix bugs * Complete imports * Update docs * Update naming * Add brute-force searcher * Pass realm model tests * Style * Exclude RealmReader from common tests * Fix * Fix * convert docs * up * up * more make style * up * upload * up * Fix * Update src/transformers/__init__.py * adapt testing * change modeling code * fix test * up * up * up * correct more * make retriever work * update * make style * finish main structure * Resolve merge conflict * Make everything work * Style * Fixup * Fixup * Update training test * fix retriever * remove hardcoded path * Fix * Fix modeling test * Update model links * Initial retrieval test * Fix modeling test * Complete retrieval tests * Fix * style * Fix tests * Fix docstring example * Minor fix of retrieval test * Update license headers and docs * Apply suggestions from code review * Style * Apply suggestions from code review * Add an example to RealmEmbedder * Fix Co-authored-by:
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- 14 Jan, 2022 1 commit
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Sylvain Gugger authored
* Better dummies * See if this fixes the issue * Fix quality * Style * Add doc for DummyObject
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- 10 Jan, 2022 2 commits
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Yih-Dar authored
* Start the work on TFVisionEncoderDecoderModel * Expose TFVisionEncoderDecoderModel * fix import * Add modeling_tf_vision_encoder_decoder to _ignore_modules in get_model_modules() * reorder * Apply the fix for checkpoint loading as in #14016 * remove attention_mask + fix VISION_DUMMY_INPUTS * A minimal change to make TF generate() work for vision models as encoder in encoder-decoder setting * fix wrong condition: shape_list(input_ids) == 2 * add tests * use personal TFViTModel checkpoint (for now) * Add equivalence tests + projection layer * style * make sure projection layer can run * Add examples * Apply suggestions from code review Co-authored-by:
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Kamal Raj authored
added new line
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- 03 Jan, 2022 1 commit
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Sylvain Gugger authored
* Map model_type and doc pages names * Add script * Fix typo * Quality * Manual check for Auto Co-authored-by:
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- 23 Dec, 2021 1 commit
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Yih-Dar authored
* Start the work for TFCLIPModel * Convert to TF code (TODO: loss + doc) * Clean up * Fix pooled_output for TFCLIPTextTransformer - using tf.gather_nd * assert -> raise error * Expose TFCLIPModel * Deal with dummy_inputs * Add tests * Fix all tests. TODO: manual check weight loading + add more comments * Fix pt tf equivalence test * fixes * update TFCLIPVisionEmbeddings's Conv2D * Fix loss + overwrite test_pt_tf_model_equivalence from common * Add a comment about the change about MainLayer in test_keras_save_load * Set return_loss=True in TFCLIPModelTester + make tests pass * overwrite test_pt_tf_model_equivalence from tf common * fix base_model_prefix * Fix examples * remove unused * Apply suggestions from code review Co-authored-by:
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- 22 Dec, 2021 1 commit
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Sylvain Gugger authored
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- 21 Dec, 2021 1 commit
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Sylvain Gugger authored
* Convert docstrings of all configurations and tokenizers * Processors and fixes * Last modeling files and fixes to models * Pipeline modules * Utils files * Data submodule * All the other files * Style * Missing examples * Style again * Fix copies * Say bye bye to rst docstrings forever
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- 13 Dec, 2021 1 commit
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Sylvain Gugger authored
* Convert Trainer doc page to MarkDown * Fix repo consistency * Fix the doc build test job
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- 08 Dec, 2021 1 commit
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NielsRogge authored
* First draft * Style and remove mlm * Make forward pass work * More improvements * More improvements * Fix bug * More improvements * More improvements * Add PerceiverTokenizer first draft * Improve conversion script * More improvements * Make conversion script work for the encoder * Make conversion script work with local pickle files * Style & quality, fix-copies * Add dummy input to conversion script * Add absolute position embeddings to TextPreProcessor * Make forward pass of encoder work * More improvements * Move text preprocessor to separate script * More improvements * More improvements * Add post processor * Make MLM model work * Style * Add PerceiverForMaskedLM * Add PerceiverImagePreprocessor * Make style * Make PerceiverForImageClassification work * More improvements * More improvements * Use tokenizer in conversion script * Use PerceiverForMaskedLM in conversion script * Define custom PerceiverModelOutput * Improve PerceiverAttention to make it work for both MLM and image classification * More improvements * More improvements * More improvements to the conversion script * Make conversion script work for both MLM and image classification * Add PerceiverFeatureExtractor * More improvements * Style and quality * Add center cropping * Fix bug * Small fix * Add print statement * Fix bug in image preprocessor * Fix bug with conversion script * Make output position embeddings an nn.Parameter layer instead of nn.Embedding * Comment out print statements * Add position encoding classes * More improvements * Use position_encoding_kwargs * Add PerceiverForImageClassificationFourier * Make style & quality * Add PerceiverForImageClassificationConvProcessing * Style & quality * Add flow model * Move processors to modeling file * Make position encodings modular * Make basic decoder use modular position encodings * Add PerceiverForOpticalFlow to conversion script * Add AudioPreprocessor * Make it possible for the basic decoder to use Fourier position embeddings * Add PerceiverForMultimodalAutoencoding * Improve model for optical flow * Improve _build_network_inputs method * Add print statement * Fix device issue * Fix device of Fourier embeddings * Add print statements for debugging * Add another print statement * Add another print statement * Add another print statement * Add another print statement * Improve PerceiverAudioPreprocessor * Improve conversion script for multimodal modal * More improvements * More improvements * Improve multimodal model * Make forward pass multimodal model work * More improvements * Improve tests * Fix some more tests * Add output dataclasses * Make more tests pass * Add print statements for debuggin * Add tests for image classification * Add PerceiverClassifierOutput * More improvements * Make more tests pass for the optical flow model * Make style & quality * Small improvements * Don't support training for optical flow model for now * Fix _prepare_for_class for tests * Make more tests pass, add some docs * Add multimodal model to tests * Minor fixes * Fix tests * Improve conversion script * Make fixup * Remove pos_dim argument * Fix device issue * Potential fix for OOM * Revert previous commit * Fix test_initialization * Add print statements for debugging * Fix print statement * Add print statement * Add print statement * Add print statement * Add print statement * Add print statement * Add print statement * Remove need for output_shape * Comment out output_shape * Remove unnecessary code * Improve docs * Fix make fixup * Remove PerceiverTextProcessor from init * Improve docs * Small improvement * Apply first batch of suggestions from code review * Apply more suggestions from code review * Update docstrings * Define dicts beforehand for readability * Rename task to architecture in conversion script, include PerceiverModel in tests * Add print statements for debugging * Fix tests on GPU * Remove preprocessors, postprocessors and decoders from main init * Add integration test * Fix docs * Replace einops by torch * Update for new docs frontend * Rename PerceiverForImageClassification * Improve docs * Improve docs * Improve docs of PerceiverModel * Fix some more tests * Improve center_crop * Add PerceiverForSequenceClassification * Small improvements * Fix tests * Add integration test for optical flow model * Clean up * Add tests for tokenizer * Fix tokenizer by adding special tokens properly * Fix CI
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- 07 Dec, 2021 1 commit
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Ryokan RI authored
* implement MLukeTokenizer and LukeForMaskedLM * update tests * update docs * add LukeForMaskedLM to check_repo.py * update README * fix test and specify the entity pad id in tokenization_(m)luke * fix EntityPredictionHeadTransform
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- 01 Dec, 2021 1 commit
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Sylvain Gugger authored
* Convert PretrainedConfig doc to Markdown * Use syntax * Add necessary doc files (#14496) * Doc fixes (#14499) * Fixes for the new front * Convert DETR file for table * Title is needed * Simplify a bit * Even simpler * Remove imports * Fix typo in toctree (#14516) * Fix checkpoints badge * Update versions.yml format (#14517) * Doc new front github actions (#14512) * Doc new front github actions * Fix docstring * Fix feature extraction utils import (#14515) * Address Julien's comments * Push to doc-builder * Ready for merge * Remove old build and deploy * Doc misc fixes (#14583) * Rm versions.yml from doc * Fix converting.rst * Rm pretrained_models from toctree * Fix index links (#14567) * Fix links in README * Localized READMEs * Fix copy script * Fix find doc script * Update README_ko.md Co-authored-by:
Julien Chaumond <julien@huggingface.co> Co-authored-by:
Mishig Davaadorj <mishig.davaadorj@coloradocollege.edu> Co-authored-by:
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- 30 Nov, 2021 1 commit
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Suraj Patil authored
* init vision_text_dual_encoder * fix merge * remove extra heads * fix tests * remove VISION_TEXT_DUAL_ENCODER_PRETRAINED_CONFIG_ARCHIVE_MAP * remove archive map * fix imports * fix more imports * fix init * delete tokenizers * fix imports * clean * support clip's vision model * handle None config * begin tests * more test and few fixes * warn about newly init weights * more tests * add loss to model * remove extra classes from doc * add processor * doc and small fixes * add start docstr * update flax model * flax tests * more flax tests * doc * quality * doc and quality * fix doc * doc * remove comments * update warning * quality * fix docs * Apply suggestions from code review Co-authored-by:
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