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14 Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
Rinat
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a03d13c83d
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Pvt model (#24720)
* pull and push updates * add docs * fix modeling * Add and run test * make copies * add task * fix tests and fix small issues * Checks on a Pull Request * fix docs * add desc pvt.md |
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Sylvain Gugger
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640e1b6c6f
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Remove tokenizers from the doc table (#24963) | ||
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Eliah Kagan
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c035970212
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Update tested versions in READMEs (#24895)
* Update supported Python and PyTorch versions in readme * Update Python, etc. versions in non-English readmes These were more out of date than in the English readme. This updates all the versions the readmes claim the repository is tested with to the same versions stated in the English readme. Those versions are current at least in the case of the Python and PyTorch versions (and less out of date for the others). * Propagate trailing whitespace fix to model list This runs "make fix-copies". The only change is the removal of whitespace. No actual information or wording is changed. * Update tested TensorFlow to 2.6 in all readmes Per pinning in setup.py Unlike Python and PyTorch, the minimum supported TensorFlow version has not very recently changed, but old versions were listed in all READMEs. |
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Arthur
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07360b6c9c
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[Llama2] Add support for Llama 2 (#24891)
* add llama * add other readmes * update padding id in readme * add link to paper * fix paths and tokenizer * more nits * styling * fit operation in 2 lines when possible * nits * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * add form * update reademe * update readme, we don't have a default pad token * update test and tokenization * LLaMA instead of Llama * nits * add expected text * add greeedy output * styling * Update src/transformers/models/llama/modeling_llama.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * sequential device map * skip relevant changes --------- Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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NielsRogge
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3ec10e6c76
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Add DINOv2 (#24016)
* First draft * More improvements * Convert patch embedding layer * Convert all weights * Make conversion work * Improve conversion script * Fix style * Make all tests pass * Add image processor to auto mapping * Add swiglu ffn * Add image processor to conversion script * Fix conversion of giant model * Fix documentation * Fix style * Fix tests * Address comments * Address more comments * Remove unused arguments * Remove more arguments * Rename parameters * Include mask token * Address comments * Add docstring * Transfer checkpoints * Empty commit |
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Yoach Lacombe
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f42a35e611
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Add bark (#24086)
* first raw version of the bark integration * working code on small models with single run * add converting script from suno weights 2 hf * many changes * correct past_kv output * working implementation for inference * update the converting script according to the architecture changes * add a working end-to-end inference code * remove some comments and make small changes * remove unecessary comment * add docstrings and ensure no unecessary intermediary output during audio generation * remove done TODOs * make style + add config docstrings * modification for batch inference support on the whole model * add details to .generation_audio method * add copyright * convert EncodecModel from original library to transformers implementation * add two class in order to facilitate model and sub-models loading from the hub * add support of loading the whole model * add BarkProcessor * correct modeling according to processor output * Add proper __init__ and auto support * Add up-to-date copyright/license message * add relative import instead of absolute * cleaner head_dim computation * small comment removal or changes * more verbose LayerNorm init method * specify eps for clearer comprehension * more verbose variable naming in the MLP module * remove unecessary BarkBlock parameter * clearer code in the forward pass of the BarkBlock * remove _initialize_modules method for cleaner code * Remove unnecessary methods from sub-models * move code to remove unnecessary function * rename a variable for clarity and change an assert * move code and change variable name for clarity * remove unnecessary asserts * correct small bug * correct a comment * change variable names for clarity * remove asserts * change import from absolute to relative * correct small error due to comma missing + correct import * Add attribute Bark config * add first version of tests * update attention_map * add tie_weights and resize_token_embeddings for fineModel * correct getting attention_mask in generate_text_semantic * remove Bark inference trick * leave more choices in barkProcessor * remove _no_split_modules * fixe error in forward of block and introduce clearer notations * correct converting script with last changes * make style + add draft bark.mdx * correct BarkModelTest::test_generate_text_semantic * add Bark in main README * add dummy_pt_objects for Bark * add missing models in the main init * correct test_decoder_model_past_with_large_inputs * disable torchscript test * change docstring of BarkProcessor * Add test_processor_bark * make style * correct copyrights * add bark.mdx + make style, quality and consistency * Apply suggestions from code review Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * Remove unnecessary test method * simply logic of a test * Only check first ids for slow audio generation * split full end-to-end generation tests * remove unneccessary comment * change submodel names for clearer naming * remove ModuleDict from modeling_bark * combine two if statements * ensure that an edge misued won't happen * modify variable name * move code snippet to the right place (coarse instead of semantic) * change BarkSemanticModule -> BarkSemanticModel * align BarkProcessor with transformers paradigm * correct BarkProcessor tests with last commit changes * change _validate_voice_preset to an instance method instead of a class method * tie_weights already called with post_init * add codec_model config to configuration * update bark modeling tests with recent BarkProcessor changes * remove SubModelPretrainedModel + change speakers embeddings prompt type in BarkModel * change absolute imports to relative * remove TODO * change docstrings * add examples to docs and docstrings * make style * uses BatchFeature in BarkProcessor insteads of dict * continue improving docstrings and docs + make style * correct docstrings examples * more comprehensible speaker_embeddings load/Save * rename speaker_embeddings_dict -> speaker_embeddings * correct bark.mdx + add bark to documentation_tests * correct docstrings configuration_bark * integrate last nit suggestions * integrate BarkGeneration configs * make style * remove bark tests from documentation_tests.txt because timeout - tested manually * add proper generation config initialization * small bark.mdx documentation changes * rename bark.mdx -> bark.md * add torch.no_grad behind BarkModel.generate_audio() * replace assert by ValueError in convert_suno_to_hf.py * integrate a series of short comments from reviewer * move SemanticLogitsProcessors and remove .detach() from Bark docs and docstrings * actually remove SemanticLogitsProcessor from modeling_bark.oy * BarkProcessor returns a single output instead of tuple + correct docstrings * make style + correct bug * add initializer_range to BarkConfig + correct slow modeling tests * add .clone() to history_prompt.coarse_prompt to avoid modifying input array * Making sure no extra "`" are present * remove extra characters in modeling_bark.py * Correct output if history_prompt is None * remove TODOs * remove ravel comment * completing generation_configuration_bark.py docstrings * change docstrings - number of audio codebooks instead of Encodec codebooks * change 'bias' docstrings in configuration_bark.py * format code * rename BarkModel.generate_audio -> BarkModel.generate_speech * modify AutoConfig instead of EncodecConfig in BarkConfig * correct AutoConfig wrong init * refactor BarkModel and sub-models generate_coarse, generate_fine, generate_text_semantic * remove SemanticLogitsProcessor and replace it with SuppressTokensLogitsProcessor * move nb_codebook related config arguments to BarkFineConfig * rename bark.mdx -> bark.md * correcting BarkModelConfig from_pretrained + remove keys_to_ignore * correct bark.md with correct hub path * correct code bug in bark.md * correct list tokens_to_suppress * modify Processor to load nested speaker embeddings in a safer way * correct batch sampling in BarkFineModel.generate_fine * Apply suggestions from code review Small docstrings correction and code improvements Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * give more details about num_layers in docstrings * correct indentation mistake * correct submodelconfig order of docstring variables * put audio models in alphabetical order in utils/check_repo.my * remove useless line from test_modeling_bark.py * makes BarkCoarseModelTest inherits from (ModelTesterMixin, GenerationTesterMixin, unittest.TestCase) instead of BarkSemanticModelTest * make a Tester class for each sub-model instead of inheriting * add test_resize_embeddings=True for Bark sub-models * add Copied from transformers.models.gpt_neo.modeling_gpt_neo.GPTNeoSelfAttention._split_heads * remove 'Copied fom Bark' comment * remove unneccessary comment * change np.min -> min in modeling_bark.py * refactored all custom layers to have Bark prefix * add attention_mask as an argument of generate_text_semantic * refactor sub-models start docstrings to have more precise config class definition * move _tied_weights_keys overriding * add docstrings to generate_xxx in modeling_bark.py * add loading whole BarkModel to convert_suno_to_hf * refactor attribute and variable names * make style convert_suno * update bark checkpoints * remove never entered if statement * move bark_modeling docstrings after BarkPretrainedModel class definition * refactor modeling_bark.py: kv -> key_values * small nits - code refactoring and removing unecessary lines from _init_weights * nits - replace inplace method by variable assigning * remove *optional* when necessary * remove some lines in generate_speech * add default value for optional parameter * Refactor preprocess_histories_before_coarse -> preprocess_histories Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * correct usage after refactoring * refactor Bark's generate_xxx -> generate and modify docstrings and tests accordingly * update docstrings python in configuration_bark.py * add bark files in utils/documentation_test.txt * correct docstrings python snippet * add the ability to use parameters in the form of e.g coarse_temperature * add semantic_max_new_tokens in python snippet in docstrings for quicker generation * Reformate sub-models kwargs in BakModel.generate Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * correct kwargs in BarkModel.generate * correct attention_mask kwarg in BarkModel.generate * add tests for sub-models args in BarkModel.generate and correct BarkFineModel.test_generate_fp16 * enrich BarkModel.generate docstrings with a description of how to use the kwargs --------- Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Jegor Kitškerkin
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8a5e8a9c2a
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Add ViViT (#22518)
* Add model * Add ability to get classification head weights * Add docs * Add imports to __init__.py * Run style * Fix imports and add mdx doc * Run style * Fix copyright * Fix config docstring * Remove imports of ViViTLayer and load_tf_weights_in_vivit * Remove FeatureExtractor and replace with ImageProcessor everywhere * Remove ViViTForPreTraining from vivit.mdx * Change ViViT -> Vivit everywhere * Add model_doc to _toctree.yml * Replace tuples with lists in arguments of VivitConfig * Rename patch_size to tubelet_size in TubeletEmbeddings * Fix checkpoint names * Add tests * Remove unused num_frames * Fix imports for VivitImageProcessor * Minor fixes * Decrease number of frames in VivitModelTester from 32 to 16 * Decrease number of frames in VivitModelTester from 16 to 8 * Add initialization for pos embeddings * Rename Vivit -> ViViT in some places * Fix docstring and formatting * Rename TubeletEmbeddings -> VivitTubeletEmbeddings * Remove load_tf_weights_in_vivit * Change checkpoint name * Remove Vivit _TOKENIZER_FOR_DOC * Fix * Fix VivitTubeletEmbeddings and pass config object as parameter * Use image_size and num_frames instead of video_size * Change conversion script and fix differences with the orig implementation * Fix docstrings * Add attention head pruning * Run style and fixup * Fix tests * Add ViViT to video_classification.mdx * Save processor in conversion script * Fix * Add image processor test * Run fixup and style * Run fix-copies * Update tests/models/vivit/test_modeling_vivit.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/vivit/test_modeling_vivit.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/vivit/modeling_vivit.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Use PyAV instead of decord * Add unittest.skip * Run style * Remove unneeded test * Update docs/source/en/model_doc/vivit.mdx Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/vivit/configuration_vivit.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/vivit/modeling_vivit.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/vivit/image_processing_vivit.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/vivit/modeling_vivit.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/vivit/modeling_vivit.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/vivit/image_processing_vivit.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/vivit/modeling_vivit.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Add model * Add docs * Run style * Fix imports and add mdx doc * Remove FeatureExtractor and replace with ImageProcessor everywhere * Change ViViT -> Vivit everywhere * Rename Vivit -> ViViT in some places * Update src/transformers/models/vivit/image_processing_vivit.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Run make style * Remove inputs save * Fix image processor * Fix * Run `make style` * Decrease parameters of VivitModelTester * Decrease tubelet size * Rename vivit.mdx * Update src/transformers/models/vivit/image_processing_vivit.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/vivit/image_processing_vivit.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/vivit/image_processing_vivit.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Fix default values in image_processing_vivit.py --------- Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> |
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Matt
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b3ab3fac1d
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Falcon port (#24523)
* Initial commit * Update src/transformers/models/falcon/configuration_falcon.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/falcon/configuration_falcon.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Cleanup config docstring * Update src/transformers/models/falcon/configuration_falcon.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Convert to relative imports * Remove torch < 1.8 warning * Restructure cos_sin header * qkv -> query, key, value * Refactor attention calculation * Add a couple of config variables to account for the different checkpoints * Successful merging of the code paths! * Fix misplaced line in the non-parallel attention path * Update config and tests * Add a pad_token_id when testing * Support output_attentions when alibi is None * make fixup * Skip KV cache shape test * No more _keys_to_ignore_on_load_missing * Simplify self attention a bit * Simplify self attention a bit * make fixup * stash commit * Some more attention mask updates * Should pass all tests except assisted generation! * Add big model generation test * make fixup * Add temporary workaround for test * Test overrides for assisted generation * Update src/transformers/models/falcon/modeling_falcon.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/falcon/modeling_falcon.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/falcon/modeling_falcon.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update tests/models/falcon/test_modeling_falcon.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Test overrides for assisted generation * Add generation demo * Update copyright * Make the docstring model actually small * Add module-level docstring * Remove all assertions * Add copied from bloom * Reformat the QKV layer * Add copied from bloom * Update src/transformers/models/falcon/modeling_falcon.py Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> * Remove unused line and reformat * No single letter variables * Cleanup return names * Add copied from line * Remove the deprecated arguments blocks * Change the embeddings test to an alibi on/off test * Remove position_ids from FalconForQA * Remove old check for token type IDs * Fix the alibi path when multi_query is False * Update src/transformers/models/falcon/modeling_falcon.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/falcon/modeling_falcon.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/falcon/test_modeling_falcon.py Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update config naming * Fix typo for new_decoder_architecture * Add some comments * Fix docstring * Fix docstring * Create range in the right dtype from the start * Review comment cleanup * n_head_kv -> num_kv_heads * self.alibi -> self.use_alibi * self.num_kv -> self.num_kv_heads * Reorder config args * Made alibi arguments Optional * Add all model docstrings * Add extra checkpoints * Add author info for Falcon * Stop removing token_type_ids because our checkpoints shouldn't return it anymore * Add one hopeful comment for the future * Fix typo * Update tests, fix cache issue for generation * Use -1e9 instead of -inf to avoid float overflow * Recompute the rotary embeddings much less often * Re-enable disabled tests * One final fix to attention mask calculation, and update tests * Cleanup targeting falcon-40b equivalency * Post-rebase docs update * Update docstrings, especially in the config * More descriptive variable names, and comments where we can't rename them --------- Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com> Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> |
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novice
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30ed3adf47
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Add Multi Resolution Analysis (MRA) (New PR) (#24513)
* Add all files * Update masked_language_modeling.md * fix mlm models * fix conflicts * fix conflicts * fix copies * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Reduce seq_len and hidden_size in ModelTester * remove output_attentions * fix conflicts * remove copied from statements * Apply suggestions from code review Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> --------- Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> |
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Arthur
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fb78769b9c
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[MT5] Fix CONFIG_MAPPING issue leading it to load umt5 class (#24678)
* update * add umt5 to auto tokenizer mapping * nits * fixup * fix failing torch test |
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Arthur
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799df10aef
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[Umt5] Add google's umt5 to transformers (#24477)
* add tokenization template * update conversion script * update modeling code * update * update convert checkpoint * update modeling * revert changes on convert script * new conversion script for new format * correct position bias * cleaning a bit * Credit co authors Co-authored-by: agemagician <ahmed.elnaggar@tum.de> Co-authored-by: stefan-it <> * styling * Add docq * fix copies * add co author * Other Author * Merge branch 'main' of https://github.com/huggingface/transformers into add-umt5 * add testing * nit * Update docs/source/en/model_doc/umt5.mdx Co-authored-by: Stefan Schweter <stefan@schweter.it> * fix t5 * actual fix? * revert wrong changes * remove * update test * more fixes * revert some changes * add SPIECE_UNDERLINE * add a commone xample * upfate * fix copies * revert changes on t5 conversion script * revert bytefallback changes since there was no addition yet * fixup * fixup * ingore umt5 cutom testing folder * fix readmes * revertT5 changes * same outputs * fixup * update example * Apply suggestions from code review * style * draft addition of all new files * current update * fix attention and stuff * finish refactoring * auto config * fixup * more nits * add umt5 to init * use md format * Update README.md Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * revert changes on mt5 * revert mt4 changes * update test * more fixes * add to mapping * fix-copies * fix copies * foix retain grad * fix some tests * nits * done * Update src/transformers/models/umt5/modeling_umt5.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update docs/source/en/model_doc/umt5.md * Update src/transformers/models/umt5/__init__.py * Update docs/source/en/model_doc/umt5.md Co-authored-by: Stefan Schweter <stefan@schweter.it> * Update src/transformers/models/umt5/modeling_umt5.py * update conversion script + use google checkpoints * nits * update test and modelling * stash slow convert * update fixupd * don't change slow --------- Co-authored-by: stefan-it <> Co-authored-by: Stefan Schweter <stefan@schweter.it> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Sanchit Gandhi
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1c1c90756d
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Add Musicgen (#24109)
* Add Audiocraft * add cross attention * style * add for lm * convert and verify * introduce t5 * split configs * load t5 + lm * clean conversion * copy from t5 * style * start pattern provider * make generation work * style * fix pos embs * propagate shape changes * propagate shape changes * style * delay pattern: pad tokens at end * audiocraft -> musicgen * fix inits * add mdx * style * fix pad token in processor * override generate and add todos * add init to test * undo pattern delay mask after gen * remove cfg logits processor * remove cfg logits processor * remove logits processor in favour of mask * clean pos embs * make fix copies * update readmes * clean pos emb * refactor encoder/decoder * make fix copies * update conversion * fix config imports * update config docs * make style * send pattern mask to device * pattern mask with delay * recover prompted audio tokens * fix docstrings * laydown test file * pattern edge case * remove t5 ref * add processing class * config refactor * better pattern comment * check if mask is not present * check if mask is not present * refactor to auto class * remove encoder configs * fix processor * processor import * start updating conversion * start updating tests * make style * convert t5, encodec, lm * convert as composite * also convert processor * run generate * classifier free gen * comments and clean up * make style * docs for logit proc * docstring for uncond gen * start lm tests * work tests * let the lm generate * refactor: reshape inside forward * undo greedy loop changes * from_enc_dec -> from_sub_model * fix input id shapes in docstrings * Apply suggestions from code review Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * undo generate changes * from sub model config * Update src/transformers/models/musicgen/modeling_musicgen.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * make generate work again * generate uncond -> get uncond inputs * remove prefix allowed tokens fn * better error message * logit proc checks * Apply suggestions from code review Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> * make decoder only tests work * composite fast tests * make style * uncond generation * feat extr padding * make audio prompt work * fix inputs docstrings * unconditional inputs: dict -> model output * clean up tests * more clean up tests * make style * t5 encoder -> auto text encoder * remove comments * deal with frames * fix auto text * slow tests * nice mdx * remove can generate * todo - hub id * convert m/l * make fix copies * only import generation with torch * ignore decoder from tests * don't wrap uncond inputs * make style * cleaner uncond inputs * add example to musicgen forward * fix docs * ignore MusicGen Model/ForConditionalGeneration in auto mapping * add doc section to toctree * add to doc tests * add processor tests * fix push to hub in conversion * tips for decoder only loading * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * fix conversion for s / m / l checkpoints * import stopping criteria from module * remove from pipeline tests * fix uncond docstring * decode audio method * fix docs * org: sanchit-gandhi -> facebook * fix max pos embeddings * remove auto doc (not compatible with shapes) * bump max pos emb * make style * fix doc * fix config doc * fix config doc * ignore musicgen config from docstring * make style * fix config * fix config for doctest * consistent from_sub_models * don't automap decoder * fix mdx save audio file * fix mdx save audio file * processor batch decode for audio * remove keys to ignore * update doc md * update generation config * allow changes for default generation config * update tests * make style * fix docstring for uncond * fix processor test * fix processor test --------- Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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NielsRogge
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868363abb9
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Add InstructBLIP (#23460)
* Squash 88 commits * Use markdown * Remove mdx files due to bad rebase * Fix modeling files due to bad rebase * Fix style * Update comment * fix --------- Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> |
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Sylvain Gugger
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eb849f6604
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Migrate doc files to Markdown. (#24376)
* Rename index.mdx to index.md * With saved modifs * Address review comment * Treat all files * .mdx -> .md * Remove special char * Update utils/tests_fetcher.py Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr> --------- Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr> |