- 16 Feb, 2023 3 commits
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Arthur authored
* add model like clip * update * text model ok * clap text works * some refactor - `CLAPVision` to `CLAPAudio` - refactor kwargs of audio modules * more refactor * more refactor * more refactor * correct fusion * more refactor * new modules * add basic processor * fixup * remove whisper copioed from * audio logits match * add doc * correct filters mel and add maxlength * style * few fixes * forward passes * fixup * fixup * some clean up * remove mels form the dictionnary * pad after the repeat * update padding when dsmaller * fix padding * style * use swin patch merging * use copied from swin * processor with any tokenizer * more copied from * some clean up * more refactor * fix mel when rand_trunc * style * remove unused imports * update processing * remove image processing tests * add testing fiel * fixmodeling issues * replace with `is_longer` * clap in serialization * more refactor * `make fixup` * make fixup * fix feature extractor * update test feature extractor * `make fixup` * clean up config * more clean up * more cleanup * update tests * refactor tests and inits * removeCLAP vision config * remove CLAP from image procssing auto and dummy vision objects * update inits * style * re order classes in modeling clap * Use roberta tokenizer as the other weights are not open sourced * small cleaup * remove tokenization CLAP * processor tokenizr is roberta * update feature extraction doc * remove vclap from model zero shot * update f_min and f_max to frequency_xx * some changes - fix modeling keys - add `is_longer` in the forward pass - make fixup * make fixup * consistent behavior ebtween rand_crop and fusion * add numpy resize and bilinear and documentation * move resizing to image utils * clean feature extraction * import resize from correct file * resize in image transforms * update * style * style * nit * remove unused arguments form the feature extractor * style * few fixes + make fixup * oops * fix more tests * add zero shot audio classification pipeline * update zeroshot classification pipeline * fixup * fix copies * all CI tests pass * make fixup + fix docs * fix docs * fix docs * update tests pip;eline * update zero shot pipeline * update feature extraction clap * update tokenization auto * use nested simplify * update pipeline tests * Apply suggestions from code review Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * split in two lines * fixes * refactor * clean up * add integration tests * update config docstring * style * update processor * fix processor test * fix feat extractor tests * update docs * Apply suggestions from code review Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * fix model output * fix comment * make fixup * make fixup * rename to `Clap` * replace to `Clap` * replace to `Clap` * repo consistency * again repo-consistency * make fixup * Apply suggestions from code review Co-authored-by:
Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * add config * changes * update conversion * 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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Connor Henderson authored
* refactor: Make direct_import util * edit direct import fn * add docstring * make import function specific to transformers only * edit doc string
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Jannis Vamvas authored
Move X-MOD models to facebook org
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- 15 Feb, 2023 6 commits
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Sylvain Gugger authored
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Zineng Tang authored
* Update image_processing_tvlt.py * Update modeling_tvlt.py * Update * Update modeling_tvlt.py * Create tvlt.mdx * Update configuration_tvlt.py * Update modeling_tvlt.py * Update test_modeling_tvlt.py * Update modeling_tvlt.py * Update modeling_tvlt.py * Update image_processing_tvlt.py * Update feature_extraction_tvlt.py * Update tvlt models * Update tests * Update * Update * Update tests * Update README_ko.md * Update README_ja.md * Update README_ko.md * Update README_zh-hans.md * Update docs/source/en/model_doc/tvlt.mdx Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/en/model_doc/tvlt.mdx Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/tvlt/__init__.py Co-authored-by:
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amyeroberts authored
Skipping more tests
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Susnato Dhar authored
* config and tokenization(fast too) changed and ErnieEncoder added * Slow Tokenization Added * Tokenizer(slow) is now working and Fast Tokenizer removed * Added Config code * Added Base Model and utils * ErnieMModel is now working * All added except tests * All tests passed except ErnieUIEM * All tests passed * all fixes done * all fixes done * fixed MAP * fixed check_code_quality * fixed Build PR Documentation issue * Added changes(comments) and also updated to the latest upstream/main * Added fixup * Added # Copied comments * Added fixup * Added more comments and some nits * Added fixup * Fixed README_hd.md * Added more fixes * ErnieMTokenizer (being sentencepiece) protected and other docs edited * Added code_quality fix * Fixed for * Added more fix * modified AZ * ernie-m tokenization test added! * attention mask part fixed(with 0->self.config.pad_token_id) * applied make fixup
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amyeroberts authored
* Skip high memory tests * Skip high memory tests * Remove unused import
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Yih-Dar authored
* fix blip-2 ci * fix blip-2 ci --------- Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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- 14 Feb, 2023 5 commits
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Sylvain Gugger authored
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Sylvain Gugger authored
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Sylvain Gugger authored
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Joao Gante authored
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Joao Gante authored
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- 13 Feb, 2023 8 commits
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Joao Gante authored
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Yih-Dar authored
* fix env issue * fix env issue --------- Co-authored-by: -
Joao Gante authored
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Yih-Dar authored
* use fp16 * use fp16 * use fp16 * use fp16 --------- Co-authored-by: -
Younes Belkada authored
* fix bnb slow test * make fixup
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Joao Gante authored
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Joao Gante authored
skip test
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Joao Gante authored
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- 10 Feb, 2023 9 commits
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amyeroberts authored
* Replace input_values_prrocessing with unpack_inputs * Skip test failing with OOM * Update tests
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Stas Bekman authored
[from_pretrained] extend `torch_dtype="auto"` to look up `config.torch_dtype` first, expand docs (#21524) * [from_pretrained] expand on torch_dtype entry * fold 4 into 1 * style * support torch_dtype='config' plus tests * style * oops * fold config into auto, fix bug * fix check * better log * better log * clean up
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Shubhamai authored
improving flax tests
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Patrick von Platen authored
* [Variant] Make sure variant files are not incorrectly deleted * Apply suggestions from code review * fix
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Jannis Vamvas authored
* Add X-MOD to Readme * Add documentation for X-MOD * Implement X-MOD * Fix formatting of X-MOD docs * Change signature of X-MOD forward methods to use lang_ids * Minor changes * Rebase with main and run make fix-copies * Make suggested changes to docstrings * Improve code readability Co-authored-by:
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Quentin Meeus authored
* Remove CLI spams with Whisper FeatureExtractor Whisper feature extractor representation includes the MEL filters, a list of list that is represented as ~16,000 lines. This needlessly spams the command line. I added a `__repr__` method that replaces this list with a string "<array of shape (80, 201)>" * Remove mel_filters from to_dict output Credits to @ArthurZucker * remove unused import * update feature extraction tests for the changes in to_dict
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Katie Le authored
add with torch.no_grad() to Camembert integration test Co-authored-by:Bibi <Bibi@katies-mac.local>
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Younes Belkada authored
* v1 fix * adapt from suggestions * make style * fix tests * add gpu tests * update docs * fix other tests * Apply suggestions from code review Co-authored-by:
Nicolas Patry <patry.nicolas@protonmail.com> * better fix * make fixup * better example * revert changes * proposal * more elegant solution * Update src/transformers/pipelines/automatic_speech_recognition.py Co-authored-by:
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Sylvain Gugger authored
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- 09 Feb, 2023 7 commits
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Katie Le authored
* added with torch.no_grad() to the integration tests and applied make style * added with torch.no_grad() to xlm roberta forward pass --------- Co-authored-by: -
Sylvain Gugger authored
* Enforce single model initialization * Add OneFormer example for problem 3 * Do it the Stas way * Actually rename the uses... * Rewrite test * Try to change the test this way * Fix all init slow/fast tests * Break connection * Fix more tests * Fix test for initialization * Remove custom test * Quality * Fix last failing tests * The end?
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Sylvain Gugger authored
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NielsRogge authored
* First draft * More improvements * More improvements * Improve conversion script * Convert all weights * Make forward pass work * Make logits match * More improvements * More improvements * More improvements * Use get_input_embeddings * Improve some more * Improve model tests * Improve model tests * More improvements * Fix processor * Update files * Update prepare_inputs_for_generation * More improvements * Fix copies * More fixes * Make fixup * More improvements * Add support for seq2seq language model * More improvements * Fix test * More improvements * Improve conversion script * Remove some todo's * Fix README's * Improve conversion script * Fix generation * Fix style and remove Blip2Model * Fix model outputs * More improvements * Set eos_token_id in config * Fix quality * Small improvements * Add processor tests * More improvements * Apply suggestions * Apply suggestions * Add integration test * Update image URL * Add integration test * Fix model_type * Update style * Improve docs * Add doc tests * Fix copies * Remove tests which are passing * Improve some more * Add tests for seq2seq language models * Minor fix * Convert more checkpoints * finalize CI * Fix blip and blip2 processors * add `accelerate` support for `blip2` * clean up * make style * Update conversion script * Update conversion script some more * Update organization * revert toc file * add blip-2 to toc file * Some more improvements * Fix docstring * Improve docs --------- Co-authored-by:
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Joao Gante authored
begone slow tests
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Joao Gante authored
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Joao Gante authored
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- 08 Feb, 2023 2 commits
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Motoki Wu authored
* add tests with multiple eos_token_ids * make math.prod instead of sum * make fixup * fix long and also use np.prod since math.prod does not exist <python 3.8 * make fixup * add prod util * use prod util instead of np.prod * make fixup * previous .long location * use tensor ops * remove prod * remove prod * update device * make fixup * fix none
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Stas Bekman authored
[tests] report_to none
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