- 04 Mar, 2024 5 commits
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NielsRogge authored
* First draft * More improvements * More improvements * More fixes * Fix copies * More improvements * More fixes * More improvements * Convert checkpoint * More improvements, set up tests * Fix more tests * Add UdopModel * More improvements * Fix equivalence test * More fixes * Redesign model * Extend conversion script * Use real inputs for conversion script * Add image processor * Improve conversion script * Add UdopTokenizer * Add fast tokenizer * Add converter * Update README's * Add processor * Add fully fledged tokenizer * Add fast tokenizer * Use processor in conversion script * Add tokenizer tests * Fix one more test * Fix more tests * Fix tokenizer tests * Enable fast tokenizer tests * Fix more tests * Fix additional_special_tokens of fast tokenizer * Fix tokenizer tests * Fix more tests * Fix equivalence test * Rename image to pixel_values * Rename seg_data to bbox * More renamings * Remove vis_special_token * More improvements * Add docs * Fix copied from * Update slow tokenizer * Update fast tokenizer design * Make text input optional * Add first draft of processor tests * Fix more processor tests * Fix decoder_start_token_id * Fix test_initialization * Add integration test * More improvements * Improve processor, add test * Add more copied from * Add more copied from * Add more copied from * Add more copied from * Remove print statement * Update README and auto mapping * Delete files * Delete another file * Remove code * Fix test * Fix docs * Remove asserts * Add doc tests * Include UDOP in exotic model tests * Add expected tesseract decodings * Add sentencepiece * Use same design as T5 * Add UdopEncoderModel * Add UdopEncoderModel to tests * More fixes * Fix fast tokenizer * Fix one more test * Remove parallelisable attribute * Fix copies * Remove legacy file * Copy from T5Tokenizer * Fix rebase * More fixes, copy from T5 * More fixes * Fix init * Use ArthurZ/udop for tests * Make all model tests pass * Remove UdopForConditionalGeneration from auto mapping * Fix more tests * fixups * more fixups * fix the tokenizers * remove un-necessary changes * nits * nits * replace truncate_sequences_boxes with truncate_sequences for fix-copies * nit current path * add a test for input ids * ids that we should get taken from c9f7a32f57440d90ff79890270d376a1cc0acb68 * nits converting * nits * apply ruff * nits * nits * style * fix slow order of addition * fix udop fast range as well * fixup * nits * Add docstrings * Fix gradient checkpointing * Update code examples * Skip tests * Update integration test * Address comment * Make fixup * Remove extra ids from tokenizer * Skip test * Apply suggestions from code review Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update year * Address comment * Address more comments * Address comments * Add copied from * Update CI * Rename script * Update model id * Add AddedToken, skip tests * Update CI * Fix doc tests * Do not use Tesseract for the doc tests * Remove kwargs * Add original inputs * Update casting * Fix doc test * Update question * Update question * Use LayoutLMv3ImageProcessor * Update organization * Improve docs * Update forward signature * Make images optional * Remove deprecated device argument * Add comment, add add_prefix_space * More improvements * Remove kwargs --------- Co-authored-by:
ArthurZucker <arthur.zucker@gmail.com> Co-authored-by:
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Donggeun Yu authored
* Update ms_deform_attn_cuda.cu * Update ms_deform_attn_cuda.cuh * Update modeling_deformable_detr.py * Update src/transformers/models/deformable_detr/modeling_deformable_detr.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update modeling_deformable_detr.py * python utils/check_copies.py --fix_and_overwrite * Fix dtype missmatch error * Update test_modeling_deformable_detr.py * Update test_modeling_deformable_detr.py * Update modeling_deformable_detr.py * Update modeling_deformable_detr.py * Support DeformableDETR with bfloat16 * Add test code * Use AT_DISPATCH_FLOATING_TYPES_AND2 Use AT_DISPATCH_FLOATING_TYPES_AND2 * Update tests/models/deformable_detr/test_modeling_deformable_detr.py Co-authored-by:
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Zach Mueller authored
Fully revert atomic checkpointing
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Nick DeGroot authored
*
🐛 Fix oneformer instance post processing when using panoptic task type *✅ Add unit test for oneformer instance post processing panoptic bug --------- Co-authored-by:Nick DeGroot <1966472+nickthegroot@users.noreply.github.com>
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Fanli Lin authored
* use require_torch_gpu * enable on XPU
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- 01 Mar, 2024 5 commits
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Zach Mueller authored
* Fix deprecated arg issue * Trainer check too * Check for dict or dataclass * Simplify, make config always AcceleratorConfig * Upstream to Trainer
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Marc Sun authored
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amyeroberts authored
* Fix yolos processing * Add back slow marker - protects for pycocotools in slow * Slow decorator goes above copied from header
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Sanchit Gandhi authored
* [Whisper Tok] Update integration test * make style
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Younes Belkada authored
* fix ESM 8bit * Apply suggestions from code review Co-authored-by:
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- 29 Feb, 2024 4 commits
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Yih-Dar authored
* more fixes * more fixes --------- Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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Younes Belkada authored
Update test_modeling_llama.py
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Younes Belkada authored
fix failing tests for peft integration
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Younes Belkada authored
change starcoder2 path to correct one
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- 28 Feb, 2024 3 commits
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Arthur authored
* remove control flow * update gptneox * update .... * nits * Actually let's just break. Otherwise we are silently failing which imo is not optimal * version BC * fix tests * fix eager causal * nit * add a test * style * nits * nits * more nits for the test * update and fix * make sure cuda graphs are not skipped * read token is needed for meta llama * update! * fiixup * compile test should be slow * fix thet fix copies * stle 🫠
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Younes Belkada authored
* pu hf token in gemma tests * update suggestion * add to flax * revert * fix * fixup * forward contrib credits from discussion --------- Co-authored-by:ArthurZucker <ArthurZucker@users.noreply.github.com>
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RaymondLi0 authored
* Copy model * changes * misc * fixes * add embed and residual dropout (#30) * misc * remove rms norm and gated MLP * remove copied mentions where its not a copy anymore * remove unused _shape * copied from mistral instead * fix copies * fix copies * add not doctested * fix * fix copyright * Update docs/source/en/model_doc/starcoder2.md Co-authored-by:
Joel Lamy-Poirier <joel.lamy-poirier@servicenow.com> 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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- 27 Feb, 2024 3 commits
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Raushan Turganbay authored
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Andrei Panferov authored
Cleaner Cache `dtype` and `device` extraction for CUDA graph generation for quantizers compatibility (#29079) * input_layernorm as the beacon of hope * cleaner dtype extraction * AQLM + CUDA graph test * is available check * shorter text test
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FredericOdermatt authored
GenerationConfig validate both options for constrained decoding: constraints and force_words_ids
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- 26 Feb, 2024 3 commits
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Eduardo Pacheco authored
* First commit * Improvements * More improvements * Converted original checkpoint to HF checkpoint * Fix style * Fixed forward * More improvements * More improvements * Update src/transformers/models/seggpt/modeling_seggpt.py Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Remove asserts * Remove unnecessary attributes * Changed model name to camel case * Improve forward doc * Improve tests * More improvements * Fix copies * Fix doc * Make SegGptImageProcessor more flexible * Added few-shot test * Fix style * Update READMEs and docs * Update READMEs * Make inputs required * Add SegGptForImageSegmentation * Make tests pass * Rename to out_indicies * Update src/transformers/models/seggpt/image_processing_seggpt.py Co-authored-by:
Niels <niels.rogge1@gmail.com> Co-authored-by:
Eduardo Pacheco <eduardo.pacheco@limehome.com> Co-authored-by:
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Raushan Turganbay authored
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Merve Noyan authored
* add feature extraction mapping * added prefix * ruff check * minor fix * Update modeling_auto.py * fix typo * remove prefix to make variable public/importable * Update src/transformers/models/auto/modeling_auto.py Co-authored-by:
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- 23 Feb, 2024 1 commit
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Matt authored
* stash commit * stash commit * It works! * Remove unnecessary change * We don't actually need the cache_dir! * Update docstring * Add test * Add test with custom cache dir too * Update model repo path
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- 22 Feb, 2024 1 commit
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Sanchit Gandhi authored
* fix modelling code * add tests * fix tests * add some logit tests * style * fix fix
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- 21 Feb, 2024 3 commits
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Arthur authored
* inital commit * update * update conversion checkpoint * update conversion script * nits * some fixes * nits * merge * fix permute * nits * fix * nits * nits * nits * fix rope * fix both rope * nites * style * make sure flax works * fix flax init code * fix foward * nits * print flax generation out * current code * nits * SIIIIIIIIIIIIIIIIIII * update * add new tokenizer * correct fast tokenizer * fix conversion * more comments * fix modeling and conversion * nits and nits * nits testing * add some tokenization tests * add some edge cases * add slow tests and fix them * fixup * fix copies for modeling * fix copies * add 7B slow tests * fix * fix * fix tests * make tokenizer cis go green * styling * last tokenizer nits * update jax tests * fix flax for 7b * add jit testing
🤗 * cleanups * isolated nit, inv_freq for rotary_emb.inv_freq * propagate to jax * Apply suggestions from code review Co-authored-by:Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * adjust test * fix conversion script * change name * correct file names * update conversion script * Fix bos and eos token ids in the model configuration (#3) * update modelling * update conversion script * add static cache for gemma * fix sdpa generate * fix batched * multiple fixes * fix FA2 * final fix * Rename a few missing strings and filenames (#4) * merge with upstream main * fix copies * fix copies * fix fixup * fix fixup * fix * fix * final tests * fix fx gemma tests * fix fx bf16/fp16 tests * update slow fx tests * fx slow tests: one logits, one generation * move jit test standalone * Apply suggestions from code review * nits * tokenizer updates * more tokenization updates: custom GemmaSentencepieceExtrator * style * Update src/transformers/cache_utils.py * Update src/transformers/models/gemma/__init__.py * Update tests/models/gemma/test_modeling_flax_gemma.py * small nits * style * update tokenization test * fix the rotary embedding * with style * fix slow tests * WARNING this commit might be very important for precisions * Update tests/models/gemma/test_modeling_flax_gemma.py * Update src/transformers/models/gemma/configuration_gemma.py Co-authored-by:
Lysandre Debut <hi@lysand.re> * Update src/transformers/models/gemma/modeling_flax_gemma.py Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * Update src/transformers/models/gemma/convert_gemma_weights_to_hf.py Co-authored-by:
🚀 * update all readmes --------- Co-authored-by:sanchit-gandhi <sanchit@huggingface.co> Co-authored-by:
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Ekaterina Aidova authored
* support SDPA Attention in stablelm * add integration test * add fallback for output_attentions * Update src/transformers/models/stablelm/modeling_stablelm.py Co-authored-by:
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Joao Gante authored
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- 20 Feb, 2024 10 commits
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amyeroberts authored
* Add pool option * PR comments - error message and exact outputs check
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Joao Gante authored
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Pablo Montalvo authored
* draft processor arg capture * add missing vivit model * add new common test for image preprocess signature * fix quality * fix up * add back missing validations * quality * move info level to warning for unused kwargs
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amyeroberts authored
* Revert "Add tie_weights() to LM heads and set bias in set_output_embeddings() (#28948)" This reverts commit 725f4ad1. * Revert "Patch to skip failing `test_save_load_low_cpu_mem_usage` tests (#29043)" This reverts commit 4156f517.
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Arthur authored
* add add_dummy_prefix_space option to slow * checking kwargs might be better. Should be there for all spm tokenizer IMO * nits * fix copies * more copied * nits * add prefix space * nit * nits * Update src/transformers/convert_slow_tokenizer.py * fix inti * revert wrong styling * fix * nits * style * updates * make sure we use slow tokenizer for conversion instead of looking for the decoder * support llama ast well * update llama tokenizer fast * nits * nits nits nits * update the doc * update * update to fix tests * skip unrelated tailing test * Update src/transformers/convert_slow_tokenizer.py * add proper testing * test decode as well * more testing * format * fix llama test * Apply suggestions from code review
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Younes Belkada authored
* handle peft + compiled models * add tests * fixup * adapt from suggestions * clarify comment
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Joao Gante authored
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Joao Gante authored
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Younes Belkada authored
* forgot to push the changes for 4bit .. * trigger CI
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Younes Belkada authored
* add RMSProp to Trainer * revert some change * Update src/transformers/trainer.py Co-authored-by:
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- 19 Feb, 2024 2 commits
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Titus authored
* generated text on A10G * generated text in CI * Apply suggestions from code review add explanatory comments Co-authored-by:
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Max Baak authored
output_logits option behaves like output_scores, but returns the raw, unprocessed prediction logit scores, ie. the values before they undergo logit processing and/or warping. The latter happens by default for the regular output scores. It's useful to have the unprocessed logit scores in certain circumstances. For example, unprocessed logit scores are very useful with causallm models when one wants to determine the probability of a certain answer, e.g. when asking a question with a yes/no answer. In that case getting the next-token probabilities of both "yes" and "no" (and/or their relative ratio) is of interest for classification. The reason for getting these _before_ logit processing and/or warping is b/c a) that can change the probabilities or b) reject the tokens of interest / reduce the number of tokens to just 1. For an example use-case see paper TabLLM: Few-shot Classification of Tabular Data with Large Language Models by Stefan Hegselmann, Alejandro Buendia, Hunter Lang, Monica Agrawal, Xiaoyi Jiang, and David Sontag. https://arxiv.org/abs/2210.10723 In addition: - added dedicated unit test: tests/generation/test_utils/test_return_unprocessed_logit_scores which tests return of logics with output_logits=True in generation. - set output_logits=True in all other generation unit tests, that also have output_scores=True. Implemented @gante's and @amyeroberts review feedback Co-authored-by:
kx79wq <max.baak@ing.com>
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