"lightx2v/models/vscode:/vscode.git/clone" did not exist on "837feba7d0fe32e4f8ca05024ad125aed4a31ca9"
- 30 Sep, 2022 3 commits
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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:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/__init__.py Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/time_series_transformer/configuration_time_series_transformer.py Co-authored-by:
NielsRogge <niels.rogge1@gmail.com> Co-authored-by:
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Matt authored
* Rebase ESM PR and update all file formats * Fix test relative imports * Add __init__.py to the test dir * Disable gradient checkpointing * Remove references to TFESM... FOR NOW >:| * Remove completed TODOs from tests * Convert docstrings to mdx, fix-copies from BERT * fix-copies for the README and index * Update ESM's __init__.py to the modern format * Add to _toctree.yml * Ensure we correctly copy the pad_token_id from the original ESM model * Ensure we correctly copy the pad_token_id from the original ESM model * Tiny grammar nitpicks * Make the layer norm after embeddings an optional flag * Make the layer norm after embeddings an optional flag * Update the conversion script to handle other model classes * Remove token_type_ids entirely, fix attention_masking and add checks to convert_esm.py * Break the copied from link from BertModel.forward to remove token_type_ids * Remove debug array saves * Begin ESM-2 porting * Add a hacky workaround for the precision issue in original repo * Code cleanup * Remove unused checkpoint conversion code * Remove unused checkpoint conversion code * Fix copyright notices * Get rid of all references to the TF weights conversion * Remove token_type_ids from the tests * Fix test code * Update src/transformers/__init__.py Co-authored-by:
Your Name <you@example.com> Co-authored-by:
Tom Sercu <tsercu@fb.com> Co-authored-by:
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NielsRogge authored
* First draft * Make basic test work * Fix most tokenizer tests * More improvements * Make more tests pass * Fix more tests * Fix some code quality * Improve truncation * Implement feature extractor * Improve feature extractor and add tests * Improve feature extractor tests * Fix pair_input test partly * Add fast tokenizer * Improve implementation * Fix rebase * Fix rebase * Fix most of the tokenizer tests. * propose solution for fast * add: integration test for fasttokenizer, warning for decode, fix template in slow tokenizer * add: modify markuplmconverter * add: some modify on converter and tokenizerfast * Fix style, copies * Make fixup * Update tokenization_markuplm.py * Update test_tokenization_markuplm.py * Update markuplm related * Improve processor, add integration test * Add processor test file * Improve processor * Improve processor tests * Fix more processor tests * Fix processor tests * Update docstrings * Add Copied from statements * Add more Copied from statements * Add code examples * Improve code examples * Add model to doc tests * Adding dependency check * Add dummy file * Add requires_backends * Add model to toctree * Fix more things, disable dependency check for now * Apply more suggestions * Add soft dependency * Add annotators to tests * Fix style * Remove from_slow=True * Remove print statements * Add sanity check * Fix processor test * Fix processor tests, add more docs * Add doc tests for mdx file * Add more tips * Apply suggestions Co-authored-by:
Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> Co-authored-by:
lockon-n <45759388+lockon-n@users.noreply.github.com> Co-authored-by:
SaulLu <lucilesaul.com@gmail.com> Co-authored-by:
lockon-n <dd098309@126.com>
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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:ydshieh <ydshieh@users.noreply.github.com>
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- 22 Sep, 2022 2 commits
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Sayak Paul authored
* feat: modeling and conversion scripts for msn. * chore: change license year. * chore: remove unneeded modules. * feat: direct loading of state_dict from remote url. * fix: import paths. * add: rest of the files. * add and fix rest of the files. Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * chore: put model in no_grad() and formatting. Co-authored-by:
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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 2 commits
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Shinya Otani authored
* add gpt-neox-japanese model and tokenizer as new model * Correction to PR's comment for GPT NeoX Japanese - Fix to be able to use gpu - Add comment # Copied... at the top of RotaryEmbedding - Implement nn.Linear instead of original linear class - Add generation test under @slow * fix bias treatment for gpt-neox-japanese * Modidy gpt-neox-japanese following PR - add doc for bias_dropout_add - style change following a PR comment * add document for gpt-neox-japanese * remove unused import from gpt-neox-japanese * fix README for gpt-neox-japanese
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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:
Sylvain Gugger <Sylvain.gugger@gmail.com>
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- 09 Sep, 2022 1 commit
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HuYong authored
* add_ernie * remove Tokenizer in ernie * polish code * format code style * polish code * fix style * update doc * make fix-copies * change model name * change model name * fix dependency * add more copied from * rename ErnieLMHeadModel to ErnieForCausalLM do not expose ErnieLayer update doc * fix * make style * polish code * polish code * fix * fix * fix * fix * fix * final fix Co-authored-by:
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- 08 Sep, 2022 2 commits
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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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Devlee247 authored
* fix LayoutXLM wrong link in README * fix LayoutXLM worng link in index.mdx
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- 02 Sep, 2022 2 commits
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Steven Liu authored
*
馃摑 update docs landing page *馃枍 apply feedbacks * apply feedbacks * apply feedbacks, use <br> for list -
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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- 01 Sep, 2022 1 commit
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Sayak Paul authored
* initial implementation. * add: working model till image classification. * add: initial implementation that passes intg tests. Co-authored-by:
Amy <aeroberts4444@gmail.com> * chore: formatting. * add: tests (still breaking because of config mismatch). Coo-authored-by:
Yih <2521628+ydshieh@users.noreply.github.com> * add: corrected tests and remaning changes. * fix code style and repo consistency. * address PR comments. * address Amy's comments. * chore: remove from_pt argument. * chore: add full-stop. * fix: TFLite model conversion in the doc. * Update src/transformers/models/mobilevit/modeling_tf_mobilevit.py Co-authored-by:
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- 30 Aug, 2022 1 commit
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Christoffer Koo 脴hrstr酶m authored
Co-authored-by:
Esben Toke Christensen <esben.christensen@visma.com> Co-authored-by:
Lasse Reedtz <lasse.reedtz@visma.com> Co-authored-by:
Joao Gante <joaofranciscocardosogante@gmail.com>
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- 24 Aug, 2022 1 commit
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Daniel Stancl authored
* Add TFXGLM models * Add todo: self.supports_xla_generation = False Co-authored-by:
Daniel Stancl <stancld@Daniels-MacBook-Pro.local> Co-authored-by:
Daniel Stancl <stancld@daniels-mbp.home> Co-authored-by:
Daniel <daniel.stancl@rossum.ai> Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com>
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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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- 04 Aug, 2022 1 commit
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NielsRogge authored
* First draft * Add VideoMAEForVideoClassification * Improve conversion script * Add VideoMAEForPreTraining * Add VideoMAEFeatureExtractor * Improve VideoMAEFeatureExtractor * Improve docs * Add first draft of model tests * Improve VideoMAEForPreTraining * Fix base_model_prefix * Make model take pixel_values of shape (B, T, C, H, W) * Add loss computation of VideoMAEForPreTraining * Improve tests * Improve model tests茅 * Make all tests pass * Add VideoMAE to main README * Add tests for VideoMAEFeatureExtractor * Add integration test * Improve conversion script * Rename patch embedding class * Remove VideoMAELayer from init * Update design of patch embeddings * Improve comments * Improve conversion script * Improve conversion script * Add conversion of pretrained model * Add loss verification of pretrained model * Add loss verification of unnormalized targets * Add integration test for pretraining model * Apply suggestions from code review * Fix bug to make feature extractor resize only shorter edge * Address more comments * Improve normalization of videos * Add doc examples * Move constants to dedicated script * Remove scripts * Transfer checkpoints, fix docs * Update script * Update image mean and std * Fix doc tests * Set return_tensors to NumPy by default * Revert the previous change Co-authored-by:
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- 27 Jul, 2022 1 commit
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Ritik Nandwal authored
* Add files generated using transformer-cli add-new-model-like command * Add changes for swinv2 attention and forward method * Add fixes * Add modifications for weight conversion and remaining args in swin model * Add changes for patchmerging * Add changes for SwinV2selfattention * Update conversion script * Add final fixes for the swin_v2 model * Add changes for conversion script for pretrained window size case * Add pretrained window size value from config in SwinV2Encoder class * Make fixup * Add swinv2 to models_not_in_readme to utils/check_copies.py * Modify Swinv2v2 to Swin Transformer V2 * Remove copied from, to run make fixup command * Add updates to swinv2tf from main branch * Add pretrained_window_size to config, to make tests pass * Add modified weights from nandwalritik profile for swinv2 * Update model weights from swinv2 from nandwalritik profile * Add fix for build_pr_documentation CI fix * Add fixes for weight conversion * Add change to make input with padding work * Add fixes for test cases * Add few changes from swin to swinv2 to pass test cases * Remove tests for tensorflow as swinv2 for TF is not added yet * Overide test_pt_tf_model_equivalence function as TF implementation for swinv2 is not added yet * Add modeling_tf_swinv2 to _ignore_modules as test file is removed for this one right now. * Update docs url for swinv2 in README.md Co-authored-by:
Alara Dirik <8944735+alaradirik@users.noreply.github.com> * Add suggested changes for modeling_swin2.py * Update docs * Remove create_and_test_config_common_properties function, as test_model_common_attributes is sufficient. * Fix indentation. 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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- 18 Jul, 2022 1 commit
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Lysandre Debut authored
* NLLB tokenizer * Apply suggestions from code review - Thanks Stefan! Co-authored-by:
Stefan Schweter <stefan@schweter.it> * Final touches * Style :) * Update docs/source/en/model_doc/nllb.mdx Co-authored-by:
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- 13 Jul, 2022 1 commit
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amyeroberts authored
* Initial TF DeiT implementation * Fix copies naming issues * Fix up + docs * Properly same main layer * Name layers properly * Initial TF DeiT implementation * Fix copies naming issues * Fix up + docs * Properly same main layer * Name layers properly * Fixup * Fix import * Fix import * Fix import * Fix weight loading for tests whilst not on hub * Add doc tests and remove to_2tuple * Add back to_2tuple Removing to_2tuple results in many downstream changes needed because of the copies checks * Incorporate updates in Improve vision models #17731 PR * Don't hard code num_channels * Copy PyTorch DeiT embeddings and remove pytorch operations with mask * Fix patch embeddings & tidy up * Update PixelShuffle to move logic into class layer * Update doc strings - remove PT references * Use NHWC format in internal layers * Fix up * Use linear activation layer * Remove unused import * Apply suggestions from code review Co-authored-by:
Amy Roberts <amyeroberts@users.noreply.github.com>
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- 04 Jul, 2022 1 commit
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amyeroberts authored
* Rought TF conversion outline * Tidy up * Fix padding differences between layers * Add back embedder - whoops * Match test file to main * Match upstream test file * Correctly pass and assign image_size parameter Co-authored-by:
Sayak Paul <spsayakpaul@gmail.com> * Add in MainLayer * Correctly name layer * Tidy up AdaptivePooler * Small tidy-up More accurate type hints and remove whitespaces * Change AdaptiveAvgPool Use the AdaptiveAvgPool implementation by @Rocketknight1, which correctly pools if the output shape does not evenly divide by input shape c.f. https://github.com/huggingface/transformers/pull/17554/files/9e26607e22aa8d069c86b50196656012ff0ce62a#r900109509 Co-authored-by:
Matt <Rocketknight1@users.noreply.github.com> * Remove transposes - keep NHWC throughout forward pass * Fixup look sharp * Add missing layer names * Final tidy up - remove from_pt now weights on hub Co-authored-by:
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- 29 Jun, 2022 3 commits
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Matthijs Hollemans authored
* add MobileViT * fixup * Update README.md Co-authored-by:
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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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Aritra Roy Gosthipaty authored
* chore: initial commit Copied the torch implementation of regnets and porting the code to tf step by step. Also introduced an output layer which was needed for regnets. * chore: porting the rest of the modules to tensorflow did not change the documentation yet, yet to try the playground on the model * Fix initilizations (#1) * fix: code structure in few cases. * fix: code structure to align tf models. * fix: layer naming, bn layer still remains. * chore: change default epsilon and momentum in bn. * chore: styling nits. * fix: cross-loading bn params. * fix: regnet tf model, integration passing. * add: tests for TF regnet. * fix: code quality related issues. * chore: added rest of the files. * minor additions.. * fix: repo consistency. * fix: regnet tf tests. * chore: reorganize dummy_tf_objects for regnet. * chore: remove checkpoint var. * chore: remov unnecessary files. * chore: run make style. * Update docs/source/en/model_doc/regnet.mdx Co-authored-by:
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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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- 24 Jun, 2022 1 commit
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rooa authored
* Add CodeGen model * Add missing key and switch order of super() * Fix torch.ones init with uint8 instead of bool * Address comments: copy statements and doc * update tests * remove old model parallel * fix batch gen tests * fix batch gen test * update test_gpt2_sample_max_time * fix codgen test and revert gpt2 test change * Fix incorrect tie_word_embedding value, typo, URL * Fix model order in README and styling * Reorder model list alphabetically * Set tie_word_embedding to False by default * Apply suggestions from code review * Better attn mask name & remove attn masked_bias * add tokenizer for codegen * quality * doc tokenizer * fix-copies * add CodeGenTokenizer in converter * make truncation optional * add test for truncation * add copyright * fix-copies * fix fast tokenizer decode * Update src/transformers/models/codegen/tokenization_codegen.py Co-authored-by:
patil-suraj <surajp815@gmail.com> Co-authored-by:
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- 23 Jun, 2022 1 commit
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Sijun He authored
* wip * rebase * all tests pass * rebase * ready for PR * address comments * fix styles * add require_torch to pipeline test * remove remote image to improve CI consistency * address comments; fix tf/flax tests * address comments; fix tf/flax tests * fix tests; add alias * repo consistency tests * Update src/transformers/pipelines/visual_question_answering.py Co-authored-by:
Sijun He <sijunhe@Sijuns-MacBook-Pro.local> Co-authored-by:
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- 21 Jun, 2022 1 commit
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Patrick von Platen authored
* Add UL2 Co-authored-by:Daniel Hesslow <Daniel.Hesslow@gmail.com> * Correct naming * sort better * up * apply sylvains suggestion
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- 15 Jun, 2022 1 commit
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Patrick von Platen authored
* [Wav2Vec2Conformer] Official release * remove from not-in-readme
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- 13 Jun, 2022 1 commit
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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:
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- 09 Jun, 2022 1 commit
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Younes Belkada authored
* adding template * update model * model update * update conf for debug model * update conversion * update conversion script * update conversion script * fix missing keys check * add tests to test the tokenizer in the local machine * Change variable name * add tests on xnli dataset * add more description * add descriptions + clearer code * clearer code * adding new tests + skipping few tests because of env problems * change comment * add dtype on the configuration * add test embeddings * add hardcoded test * fix dtype issue * adding torch.float16 to config * adding more metrics (min, max, mean) * add sum * now the test passes with almost equal * add files for conversion - test passes on cpu gpu * add final changes * cleaning code * add new args in the docstring * fix one liner function * remove macros * remove forward attention * clean up init funtion * add comments on the issue * rm scale mask softmax * do make style * fix dtype in init * fixing for loop on att probs * fix style with black * fix style + doc error * fix and debug CI errors (docs + style) * some updates - change new operations - finally add scaled softmax - added new args in the config * make use cache working * add changes - save sharded models - final changes on the modeling script * add changes - comment on alibi - add TODO on seq length * test commit - added a text to test the commit Co-authored-by:
thomasw21 <24695242+thomasw21@users.noreply.github.com> * final changes - attention mask change - generation works on BS176b Co-authored-by:
Stas Bekman <stas00@users.noreply.github.com> * apply modifications Co-authored-by:
Niklas Muennighoff <n.muennighoff@gmail.com> * final changes modeling Co-authored-by:
Nicolas Patry <Narsil@users.noreply.github.com> * forward contrib credits Co-authored-by:
thomasw21 <thomasw21@users.noreply.github.com> Co-authored-by:
sgugger <sgugger@users.noreply.github.com> Co-authored-by:
patrickvonplaten <patrickvonplaten@users.noreply.github.com> Co-authored-by:
LysandreJik <LysandreJik@users.noreply.github.com> * Apply suggestions from code review Co-authored-by:
justheuristic <justheuristic@gmail.com> * fix alibi - create alibi only once * add small doc * make quality * replace torch.nn * remove token type emb * fix fused op + output bias * add fused op - now can control fused operation from config * remove fused op * make quality * small changes - remove unsed args on config - removed bias gelu file - make the model torchscriptable - add torchscript slow tests * Update src/transformers/models/bloom/modeling_bloom.py * fix slow * make style * add accelerate support * add bloom to deepspeed tests * minor changes * Apply suggestions from code review Co-authored-by:
Thomwolf <thomwolf@gmail.com> Co-authored-by:
Thomas Wolf <thomas@huggingface.co> Co-authored-by:
sIncerass <sheng.s@berkeley.edu> Co-authored-by:
Stas Bekman <stas@stason.org>
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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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- 03 Jun, 2022 1 commit
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Britney Muller authored
This PR updates our Expert Acceleration Program image with a new image featuring our experts. This is similar to our Transformers/README.md image update that has proven to be successful.
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- 02 Jun, 2022 1 commit
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Sylvain Gugger authored
* Script for README * Fix copies * Complete error message
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- 01 Jun, 2022 1 commit
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Anugunj Naman authored
* levit files * levit tests * weights script * weights script * update * style fixes * few minor corrections * Added teacher model * edit docs * fix-copies * style fixes * pr error resolved * Update README.md Co-authored-by:
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- 31 May, 2022 1 commit
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Arthur authored
* initial commit * add init file * update globakl init * update index and dummy objects * style * update modelling auto * fix initi typo in src/transformers * fix typo in modeling tf auto, opt was in wrong mapping name * fixed a slow test : saved_model * style * fix positionnal embedding if no position id is provided * update tf test * update test flax requirements * fixed serialization * update * update tf name to allow smooth convertion * update flax tests * style * fix test typo * fix tf typo test * add xla for generate support in causal LM * fixed bug * cleaned tf tests * style * removed from PT for slow tests * fix typp * opt test as slow * trying to fix GPT2 undefined * correct documentation and add to test doc * update tf doc * fix doc * fake commit * Apply suggestions from code review Co-authored-by:
Arthur <arthur@huggingface.co> Co-authored-by:
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- 24 May, 2022 1 commit
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Jason Phang authored
* initial * first try * working 20B * 20B tokenizers * Docs * Import fixes for missing classes * Update docs, fixup * black formatting * isort * flake * dummy objects * documentation * Documentation yml * more docs * tweaks for tests * tokenization auto * fix neox tests * test * test * einsum * address PR feedback * Documentation * Update README.md Co-authored-by:
Jason Phang <zp489@gr057.hpc.nyu.edu> Co-authored-by:
Stella Biderman <stellabiderman@gmail.com> Co-authored-by:
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