* Add templates for gpt-sw3
* Add templates for gpt-sw3
* Added sentencepiece tokenizer
* intermediate commit with many changes
* fixed conflicts
* Init commit for tokenization port
* Tokenization progress
* Remove fast tokenizer
* Clean up and rename spm.model -> spiece.model
* Remove TF -> PT conversion script template, Clean up Megatron -> PT script
* Optimize encode & decode performance
* added new attention
* added new attention
* attention for gpt-sw3 working
* attention good
* Cache is now working
* fixed attention mask so that it works with causal attention
* fixed badbmm bug for cpu and caching
* updated config with correct parameters
* Refactor and leave optimizations as separate functions to avoid breaking expected functionality
* Fix special tokens mapping for both tokenizers
* cleaning up of code and comments
* HF compatible attention outputs
* Tokenizer now passing tests, add documentation
* Update documentation
* reverted back to base implementation after checking that it is identical to pretrained model
* updated gpt-sw3 config
* updated conversion script
* aligned parameters with gpt-sw3 config
* changed default scale_attn_by_inverse_layer_idx to true
* removed flag from conversion script
* added temporary model path
* reverted back to functioning convert script
* small changes to default config
* updated tests for gpt-sw3
* make style, make quality, minor cleanup
* Change local paths to testing online repository
* Change name: GptSw3 -> GPTSw3
* Remove GPTSw3TokenizerFast references
* Use official model repository and add more model sizes
* Added reference to 6.7b model
* Add GPTSw3DoubleHeadsModel to IGNORE_NON_AUTO_CONFIGURED, like GPT2DoubleHeadsModel
* Remove pointers to non-existing TFGPTSw3
* Add GPTSw3 to docs/_toctree.yml
* Remove TF artifacts from GPTSw3 in __init__ files
* Update README:s with 'make fix-copies'
* Add 20b model to archive list
* Add documentation for GPT-Sw3
* Fix typo in documentation for GPT-Sw3
* Do 'make fix-copies' again after having updated docs
* Fix some typos in docs
* Update src/transformers/models/gpt_sw3/configuration_gpt_sw3.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Update src/transformers/models/gpt_sw3/configuration_gpt_sw3.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Update src/transformers/models/gpt_sw3/__init__.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Update src/transformers/models/gpt_sw3/__init__.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Update src/transformers/models/gpt_sw3/convert_megatron_to_pytorch.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Update src/transformers/models/gpt_sw3/modeling_gpt_sw3.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Update tests/models/gpt_sw3/test_tokenization_gpt_sw3.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Update src/transformers/models/gpt_sw3/modeling_gpt_sw3.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Update src/transformers/models/gpt_sw3/modeling_gpt_sw3.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Resolve comments from PR feedback
* Resolve more comments from PR feedback, also set use_cache=True in convert script
* Add '# Copied from' comments for GPTSw3 modeling
* Set 'is_parallelizable = False'
* Remove '# Copied from' where code was modified and add 'with x->y' when appropriate
* Remove parallelize in mdx
* make style, make quality
* Update GPTSw3Config default values and corresponding documentation
* Update src/transformers/models/gpt_sw3/tokenization_gpt_sw3.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/models/gpt_sw3/__init__.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Clean up and protect GPTSw3Tokenizer imports with is_sentencepiece_available
* Make style, make quality
* Add dummy object for GPTSw3Tokenizer via 'make fix-copies'
* make fix-copies
* Remove GPTSw3 modeling classes
* make style, make quality
* Add GPTSw3 auto-mappings for other GPT2 heads
* Update docs/source/en/model_doc/gpt-sw3.mdx
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Update src/transformers/models/gpt_sw3/convert_megatron_to_pytorch.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Update src/transformers/models/gpt_sw3/tokenization_gpt_sw3.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Remove old TODO-comment
* Add example usage to GPTSw3Tokenizer docstring
* make style, make quality
* Add implementation details and example usage to gpt-sw3.mdx
Co-authored-by: JoeyOhman <joeyoh@kth.se>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* read to load
* base functionality
* revert init
* fix dummy data
* moving right along
* moving right along
* finally
* cleanup
* pull out comment
* add test
* update docstring for main class
* flake comments and rewriting copies from make repo-consistency`
* remove irrelevant differences/accidental spaces
* put copies back after space removals
* mid
* final test pass
* stray comment
* update test file
* update test file
* fixup
* black
* missed
* black missed one more
* sytle
* add doc update
* fix order of output class
* comment
* Revert "comment"
This reverts commit 03f86b6948808461939cc8ad4ad74305dfb67700.
* remove redundant function, and redundant reshape
* move change out of common
* style
* put common spaces back
* reorder kwargs in output
* doc style
* add `dpt-hybrid` support
* refactor
* final changes, all tests pass
* final cleanups
* final changes
* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* fix docstring
* fix typo
* change `vit_hybrid` to `hybrid`
* replace dataclass
* add docstring
* move dataclasses
* fix test
* add `PretrainedConfig` support for `backbone_config`
* fix docstring
* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* remove `embedding_type` and replace it by `is_hybrid`
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* biogpt initial commit
* updated init
* fix faster decoding with use_cache
* 1. fix input_ids and input_embeds with correct device
2. added _keys_to_ignore_on_load_missing
3. updated prepare_inputs_for_generation
* add activation_dropout and scale_embedding
* replace fsmt attention with bart attention
* added test
* run make fix-copies
* doc init and fix build
* updated README with proper information
* 1. added tips to docs
2. updated BioGptTokenizer func
* 1. added tokenizer test
2. refactor tokenizer
* make fixup
* add biogpt fairseq to hf converter
* updated layer names more
similar to original checkpoints
* config update doc string and set defaults
* added "#copied" from bart model and
updated doc strings
* enable model_input_names in tokenizer
* 1. positionalembedding depending on attention_mask
2. added attention mask to prepare for generation
* added test to verify past and generation
* BioGptLMHeadModel -> BioGptForCausalLM
* fix typo
* tokenization and test
Copyright and updated assertion
* updated Copyright and
one func at time in line
* Copyright updates and
minor doc fix
* replace assertion with ValueError
* rm extra space
* added code syntax
* revert cmnt position change
* add tokenizer to auto
* updated doc string
* tokenizer doc string update
* biogpt hub model update to microsoft/biogpt
* make fixup
* rm cmnt to fix flake8 5.0.4 vs 6 error
* add minimal working gpt2 tokenizer
* graph mode and output equivalence tests working
* not today tensorflow. serialization test passing!
* fix style, documentation, docstrings and all that jazz
* passing consistency checks
* move keras nlp to tf dependencies
* fix tf modeling utils and gpt2 attention to enable compiling
* fix (I hope) keras nlp dependencies
* rever changes on generation
* remove debug prints
* remove redundant tf dummy objects
* add from config, get config and max length settings to address review
* let flake ignore the error on distillation you are welcome
* test from config
* add padding test
* address sgugger review
* First draft
* Fix backwards compatibility
* More fixes
* More fixes
* Make backbone more general
* Improve backbone
* Improve test
* Fix config checkpoint
* Address comments
* Use model_type
* Address more comments
* Fix special model names
* Remove MaskFormerSwinModel and MaskFormerSwinPreTrainedModel from main init
* Fix typo
* Update backbone
* Apply suggestion
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
* Add hidden states and attentions to backbone outputs
* Update ResNet
* Fix more tests
* Debug test
* Fix test_determinism
* Fix test_save_load
* Remove file
* Disable fx tests
* Test
* Add fx support for backbones
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
* change the way sentinel tokens can retrived
* Fix line length for doc string
* Fix line length for doc string
* Add more stronger test for t5 tokenization
* Format file changes
* Make a stronger test for filtering sentinel tokens
* fix file format issues
* Optimizes DonutProcessor token2json method for speed
* Applies black formatting
* Updates Donut pretrained model name in test file
* remaining pytorch type hints (#20217)
* Update modeling_flava.py
* Update modeling_markuplm.py
* Update modeling_glpn.py
* Update modeling_roc_bert.py
* Update modeling_segformer.py
* Update modeling_tapas.py
* Update modeling_tapas.py
* Update modeling_tapas.py
* Update modeling_tapas.py
* Update modeling_trocr.py
* Update modeling_videomae.py
* Update modeling_videomae.py
* Update modeling_videomae.py
* Update modeling_yolos.py
* Update modeling_wav2vec2.py
* Update modeling_jukebox.py
* Update modeling_jukebox.py
* Update modeling_jukebox.py
* Update modeling_jukebox.py
* Data collator for token classification pads labels column when receives pytorch tensors (#20244)
* token cls data_collator pads labels column
* remove walrus operator for code quality
* remove redundat space
* remove comment that was fixed
* PR comments fix
Co-authored-by: Alexander Markov <amarkov.me@gmail.com>
* [Doctest] Add configuration_deformable_detr.py (#20273)
* Update configuration_deformable_detr.py comment
* Add DeformableDetrConfig to documentation_tests.txt
* Fix summarization script (#20286)
* [DOCTEST] Fix the documentation of RoCBert (#20142)
* update part of the doc
* add temp values, fix part of the doc
* add template outputs
* add correct models and outputss
* style
* fixup
* [bnb] Let's warn users when saving 8-bit models (#20282)
* add warning on 8-bit models
- added tests
- added wrapper
* move to a private attribute
- remove wrapper
- changed `save_pretrained` method
* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* fix suggestions
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Adding `zero-shot-object-detection` pipeline doctest. (#20274)
* Adding `zero-shot-object-detection` pipeline doctest.
* Remove nested_simplify.
* Adding doctest for `object-detection` pipeline. (#20258)
* Adding doctest for `object-detection` pipeline.
* Removed nested_simplify.
* Image transforms functionality used instead (#20278)
* Image transforms functionality used instead
* Import torch
* Import rather than copy
* Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py
* TF: add test for `PushToHubCallback` (#20231)
* test hub tf callback
* create repo before cloning it
* Generate: general TF XLA constrastive search are now slow tests (#20277)
* move contrastive search test to slow
* Fixing the doctests failures. (#20294)
* Fixing the doctests failures.
* Fixup.
* set the default cache_enable to True, aligned with the default value in pytorch cpu/cuda amp autocast (#20289)
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
* Add docstrings for canine model (#19457)
* Add docstrings for canine model
* Update CanineForTokenClassification
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
* Add AutoBackbone + ResNetBackbone (#20229)
* Add ResNetBackbone
* Define channels and strides as property
* Remove file
* Add test for backbone
* Update BackboneOutput class
* Remove strides property
* Fix docstring
* Add backbones to SHOULD_HAVE_THEIR_OWN_PAGE
* Fix auto mapping name
* Add sanity check for out_features
* Set stage names based on depths
* Update to tuple
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
* Add missing report button for Example test (#20293)
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
* refactor test (#20300)
- simplifies the devce checking test
* [Tiny model creation] deal with `ImageProcessor` (#20298)
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
* Fix blender bot missleading doc (#20301)
* fix the doc to specify that add_prefix_space = False
* add correct expected output
* remove two tokens that should not be suppressed (#20302)
* [ASR Examples] Update README for Whisper (#20230)
* [ASR Examples] Update README for seq2seq
* add language info
* add training results
* re-word
* Add padding image transformation (#19838)
* Add padding transformation
* Add in upstream changes
* Update tests & docs
* Code formatting tuples in docstring
* Pin TensorFlow (#20313)
* Pin to the right version...
* Also pin TensorFlow CPU
* Add AnyPrecisionAdamW optimizer (#18961)
* Add AnyPrecisionAdamW optimizer
* Add optim_args argument to TrainingArgs
* Add tests for AnyPrecisionOptimizer
* Change AnyPrecisionAdam default params to float32
* Move default_anyprecision_kwargs in trainer test
* Rename AnyPrecisionAdamW
* [Proposal] Breaking change `zero-shot-object-detection` for improved consistency. (#20280)
* [Proposal] Breaking change `zero-shot-object-detection` for improved
consistency.
This is a proposal to modify the output of `zero-shot-object-detection`
to provide better alignment with other pipelines.
The output is now strictly the same as `object-detection` whereas before
it would output lists of lists.
The name `candidate_labels` is used throughout for consistency with
other `zero-shot` pipelines.
The pipeline is changed to `ChunkPipeline` to support batching cleanly.
This removes all the lists and list of lists shenanigans, it's now a
matter of the base pipeline handling all this not this specific one.
**Breaking change**: It did remove complex calls potentials `pipe(images = [image1, image2],
text_queries=[candidates1, candidates2])` to support only
`pipe([{"image": image1, "candidate_labels": candidates1}, {"image": image2, "candidate_labels": candidates2}])`
when dealing with lists and/or datasets.
We could keep them, but it will add a lot of complexity to the code
base, since the pipeline is rather young, I'd rather break to keep the
code simpler, but we can revert this.
**Breaking change**: The name of the argument is now `image` instead of
`images` since it expects by default only 1 image. This is revertable
like the previous one.
**Breaking change**: The types is now simplified and flattened:
`pipe(inputs) == [{**object1}, {**object2}]`
instead of the previous
`pipe(inputs) == [[{**object1}, {**object1}], [{**object2}]]`
Where the different instances would be grouped by candidate labels
within lists.
IMHO this is not really desirable, since it would output empty lists and
is only adding superflous indirection compared to
`zero-shot-object-detection`.
It is relatively change free in terms of how the results, it does change
computation however since now the batching is handled by the pipeline
itself. It **did** change the results for the small models so there
seems to be a real difference in how the models handle this.
* Fixing the doctests.
* Behind is_torch_available.
* Fix flakey test with seed (#20318)
* Pin TF 2.10.1 for Push CI (#20319)
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
* Remove double brackets (#20307)
* remove double brackets
* oops get other bracket
* TF: future proof our keras imports (#20317)
* future proof our tf code
* parse tf versions
* Add Neighborhood Attention Transformer (NAT) and Dilated NAT (DiNAT) models (#20219)
* Add DiNAT
* Adds DiNAT + tests
* Minor fixes
* Added HF model
* Add natten to dependencies.
* Cleanup
* Minor fixup
* Reformat
* Optional NATTEN import.
* Reformat & add doc to _toctree
* Reformat (finally)
* Dummy objects for DiNAT
* Add NAT + minor changes
Adds NAT as its own independent model + docs, tests
Adds NATTEN to ext deps to ensure ci picks it up.
* Remove natten from `all` and `dev-torch` deps, add manual pip install to ci tests
* Minor fixes.
* Fix READMEs.
* Requested changes to docs + minor fixes.
* Requested changes.
* Add NAT/DiNAT tests to layoutlm_job
* Correction to Dinat doc.
* Requested changes.
* organize pipelines by modality (#20306)
* Fix torch device issues (#20304)
* fix device issue
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
* Generate: add generation config class (#20218)
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* translate zh quicktour(#20095) (#20181)
* zh quicktour(#20095)
* add zh to doc workflow
* remove untranslation from toctree
Co-authored-by: BeifangSusu <BeifangSusu@bfss.com>
* Add Spanish translation of serialization.mdx (#20245)
* Update _toctree and clone original content
* Translate first three sections
* Add more translated chapters. Only 3 more left.
* Finish translation
* Run style from doc-builder
* Address recommended changes from reviewer
* Add LayerScale to NAT/DiNAT (#20325)
* Add LayerScale to NAT/DiNAT.
Completely dropped the ball on LayerScale in the original PR (#20219).
This is just an optional argument in both models, and is only activated for larger variants in order to provide training stability.
* Add LayerScale to NAT/DiNAT.
Minor error fixed.
Co-authored-by: Ali Hassani <ahassanijr@gmail.com>
* [Switch Transformers] Fix failing slow test (#20346)
* run slow test on GPU
* remove unnecessary device assignment
* use `torch_device` instead
* fix: "BigSicence" typo in docs (#20331)
* add MobileNetV1 model (#17799)
* add model files etc for MobileNetV2
rename files for MobileNetV1
initial implementation of MobileNetV1
fix conversion script
cleanup
write docs
tweaks
fix conversion script
extract hidden states
fix test cases
make fixup
fixup it all
remove main from doc link
fixes
fix tests
fix up
use google org
fix weird assert
* fixup
* use google organization for checkpoints
* Generate: `model_kwargs` can also be an input to `prepare_inputs_for_generation` (#20353)
* Update Special Language Tokens for PLBART (#19980)
* Update Special Language Tokens for PLBART
* fix format
* making mapping for language codes and updating tests:
* fix format
* fix consistency
* add assert to both tokenizer tests.
* fix format
* Update src/transformers/models/plbart/tokenization_plbart.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* improvin readability, setting self.tgt_lang
* fixing
* readability
Co-authored-by: jordiclive <jordiclive19@imperial.ac.uk>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Add resources (#20296)
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
* Enhance HfArgumentParser functionality and ease of use (#20323)
* Enhance HfArgumentParser
* Fix type hints for older python versions
* Fix and add tests (+formatting)
* Add changes
* doc-builder formatting
* Remove unused import "Call"
* Add Audio Spectogram Transformer (#19981)
* First draft
* Make conversion script work
* Add id2label mapping, run code quality
* Fix copies
* Add first draft of feature extractor
* Update conversion script to use feature extractor
* Make more tests pass
* Add docs
* update input_features to input_values + pad by default to max length
* Fix doc tests
* Add feature extractor tests
* Add proper padding/truncation to feature extractor
* Add support for conversion of all audioset checkpoints
* Improve docs and extend conversion script
* Fix README
* Rename spectogram to spectrogram
* Fix copies
* Add integration test
* Remove dummy conv
* Update to ast
* Update organization
* Fix init
* Rename model to AST
* Add require_torchaudio annotator
* Move import of ASTFeatureExtractor under a is_speech_available
* Fix rebase
* Add pipeline config
* Update name of classifier head
* Rename time_dimension and frequency_dimension for clarity
* Remove print statement
* Fix pipeline test
* Fix pipeline test
* Fix index table
* Fix init
* Fix conversion script
* Rename to ForAudioClassification
* Fix index table
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
* Add inference section to task guides (#18781)
* 📝 start adding inference section to task guides
* ✨ make style
* 📝 add multiple choice
* add rest of inference sections
* make style
* add compute_metric, push_to_hub, pipeline
* make style
* add updated sequence and token classification
* make style
* make edits in token classification
* add audio classification
* make style
* add asr
* make style
* add image classification
* make style
* add summarization
* make style
* add translation
* make style
* add multiple choice
* add language modeling
* add qa
* make style
* review and edits
* apply reviews
* make style
* fix call to processor
* apply audio reviews
* update to better asr model
* make style
* Fix toctree for Section 3 in Spanish Documentation (#20360)
* Order and group topics in the right section
* Translate "Computer Vision"
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
Co-authored-by: IMvision12 <88665786+IMvision12@users.noreply.github.com>
Co-authored-by: Alexander Markov <almarkv@yandex.ru>
Co-authored-by: Alexander Markov <amarkov.me@gmail.com>
Co-authored-by: Saad Mahmud <shuvro.mahmud79@gmail.com>
Co-authored-by: Zachary Mueller <muellerzr@gmail.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
Co-authored-by: Wang, Yi <yi.a.wang@intel.com>
Co-authored-by: raghavanone <115454562+raghavanone@users.noreply.github.com>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <Sylvain.gugger@gmail.com>
Co-authored-by: atturaioe <76523524+atturaioe@users.noreply.github.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Ali Hassani <68103095+alihassanijr@users.noreply.github.com>
Co-authored-by: BFSS <31245245+bfss@users.noreply.github.com>
Co-authored-by: BeifangSusu <BeifangSusu@bfss.com>
Co-authored-by: Ian C <7807897+donelianc@users.noreply.github.com>
Co-authored-by: Ali Hassani <ahassanijr@gmail.com>
Co-authored-by: Raj Rajhans <me@rajrajhans.com>
Co-authored-by: Matthijs Hollemans <mail@hollance.com>
Co-authored-by: Jordan Clive <jordan.clive19@imperial.ac.uk>
Co-authored-by: jordiclive <jordiclive19@imperial.ac.uk>
Co-authored-by: Konstantin Dobler <konstantin.j.dobler@gmail.com>
* First draft
* Make conversion script work
* Add id2label mapping, run code quality
* Fix copies
* Add first draft of feature extractor
* Update conversion script to use feature extractor
* Make more tests pass
* Add docs
* update input_features to input_values + pad by default to max length
* Fix doc tests
* Add feature extractor tests
* Add proper padding/truncation to feature extractor
* Add support for conversion of all audioset checkpoints
* Improve docs and extend conversion script
* Fix README
* Rename spectogram to spectrogram
* Fix copies
* Add integration test
* Remove dummy conv
* Update to ast
* Update organization
* Fix init
* Rename model to AST
* Add require_torchaudio annotator
* Move import of ASTFeatureExtractor under a is_speech_available
* Fix rebase
* Add pipeline config
* Update name of classifier head
* Rename time_dimension and frequency_dimension for clarity
* Remove print statement
* Fix pipeline test
* Fix pipeline test
* Fix index table
* Fix init
* Fix conversion script
* Rename to ForAudioClassification
* Fix index table
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
* Update Special Language Tokens for PLBART
* fix format
* making mapping for language codes and updating tests:
* fix format
* fix consistency
* add assert to both tokenizer tests.
* fix format
* Update src/transformers/models/plbart/tokenization_plbart.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* improvin readability, setting self.tgt_lang
* fixing
* readability
Co-authored-by: jordiclive <jordiclive19@imperial.ac.uk>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* add model files etc for MobileNetV2
rename files for MobileNetV1
initial implementation of MobileNetV1
fix conversion script
cleanup
write docs
tweaks
fix conversion script
extract hidden states
fix test cases
make fixup
fixup it all
remove main from doc link
fixes
fix tests
fix up
use google org
fix weird assert
* fixup
* use google organization for checkpoints
