amyeroberts
e3f028f3af
Add TF whisper ( #19378 )
...
* simplify loop
* add featur extractor
* add model
* start conversion
* add dropout
* initial commit of test files
* copnversion for all models
* update processor for correct padding
* update feature extraction
* update integration test logits match
* fmnt: off for the logits
* on the fly mel bank
* small nit
* update test
* update tokenizer
* nit feature extraction
* update
* update tokenizer test
* adds logit processor and update tokenizer to get supress tokens
* style
* clean convert
* revert to original modeling tf utils
* Update
* update
* nit
* clean convert file
* update tests and nits
* quality
* slow generation test
* ffn_dim to allow customization
* update readme
* add to toctreee
* start fixing integration tests
* update tests and code
* fix feature extractor
* fix config tests common
* update code to fix tests
* fix feature exctractor
* nit feature extraction
* update test for new feature extractor
* style
* add absrtact
* large logits wioth custom decoder input ids
* wraap around is otrch available
* fix feature extractor
* correct logits for whisper small.en
* nit
* fix encoder_attentino_mask
* some fixes
* remove unnecessary inputs
* nits
* add normalizer file
* update etst tokenization
* fix attention mask not defined
* fix generate
* remove uncoder attention mask useless
* update test modeling whisper
* update condfig to add second non supress tokens
* nits on feature exrtactor
* nit for test tokenizers
* update etsts
* update tests
* update tokenization test
* fixup
* invalidated hf token. Clean convert openai to whisper
* fix logit tests
* fixup
* Add model to README
* Fix doc tests
* clean merge
* revert toc_tree changes
* remove useless LogitProcessor
* Update whisper .mdx
* update config file doc
* update configuration docstring
* update test tokenization
* update test tokenization
* update tokenization whisper
Added copied from where needed
* update feature extraction
* nit test name
* style
* quality
* remove get suppress tokens and update non_speech tokens global variables
* Update src/transformers/models/whisper/feature_extraction_whisper.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* clean modeling whisper and test
Removed the attention mask arguments that are deprecated
* fix large test
* Add multilingual audio test, and translate test
* style
* fix larg multilingual test
* nits
* add copied from for attention layer
* remove attention masks in doc
* add english normalizer
* Update docs/source/en/model_doc/whisper.mdx
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* update tokenization test
* remove copied from in whisper attention : no bias in k_proj only
* wrap around dependencies in english normalizer
* style
* correct import generation logits
* for now, wrap feature extractor with torch
* remove torch depencies for feature extraction and style
* Update src/transformers/models/whisper/convert_openai_whisper_to_tfms.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/models/whisper/configuration_whisper.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update docs/source/en/model_doc/whisper.mdx
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* fixup
* nit
* update logitds
* style
* nit
* nits and fix final tests
* add `is_more_itertools_available` to utils
* quality
* add begin supress tokens, supress tokens to generate args and config
* clean supressTokensLogitProcessor in generation logits
* Nit naming
* add supressTokensAtBegin
* udpate tests, supress tokens to None or correct values
* nit and style
* update RAG to fit test and generate_logit
* add copy pasted statment on english normalizer
* add arguments to config_common_kwargs
* Update src/transformers/generation_utils.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/generation_logits_process.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* revert changes based on reviews
* update doc and nits
* Update src/transformers/models/whisper/configuration_whisper.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* more nits
* last nits
* update test configuration common
* add BART name in decoder attention mask documentation
* Update src/transformers/models/whisper/modeling_whisper.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* style
* nit
* nit
* add english.json file to git
* nits on documentation
* nit
* nits
* last styling
* add main toctree file
* remove sentence piece dependency
* clean init file
* fix tokenizer that has no dependencies on sentencepiece
* update whisper init file, nit
* remove english.json file
* add get decoder prompt id
* All weights loading
* Remove hanging pdb
* Fixup and tidy up
* Use same copied from as PT model
* Remove whitespace changes
* Remove torch references
* Tie embeddings
* Remove logits processor input to generate
* Update logit values
* revert changes and add forced logit processor
* nit
* clean normalizer
* remove protected
* Add logit processors and update generation code & tests
* Some tidy up
* Update docstring
* update
* update based on review
* Update src/transformers/models/whisper/configuration_whisper.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/models/whisper/configuration_whisper.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update to reflect changes on the PT model branch
* Tidy up
* Remove extra whitespace
* Fix test - make input ids small enough we can append
* Include upstream changes on main
* PR comments - add batch tests, remove comments & defaults
* Fix model output imports
* Update src/transformers/models/whisper/modeling_tf_whisper.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* Update src/transformers/generation_tf_logits_process.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* Update src/transformers/models/whisper/modeling_tf_whisper.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* Update src/transformers/models/whisper/modeling_tf_whisper.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* Update tests/models/whisper/test_modeling_tf_whisper.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* Update src/transformers/models/whisper/modeling_tf_whisper.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* Update src/transformers/models/whisper/modeling_tf_whisper.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* Update docstring example
* Update src/transformers/models/whisper/modeling_tf_whisper.py
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>
* Remove changes to adjust_logits_during_generation function
* Update src/transformers/models/whisper/modeling_tf_whisper.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Tidy up imports that don't require TF
* Update tests - skip and no more skip
* Update tests/generation/test_generation_tf_logits_process.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* Update src/transformers/models/whisper/modeling_tf_whisper.py
* Update src/transformers/models/whisper/modeling_tf_whisper.py
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>
* Add training flags
* Add (skipped) XLA generation tests
* Add embedding correctness test
* Add constant ids for generation tests
* Make logits finding a bit tidier
* Remove unused args
* xla generation enabled
* Don't skip XLA tests anymore
* Fix tests - add position ids to expected signature and update rag generation
* Undo method reorder
* Remove added whitespace
* Remove copy-paste gradient checkopint ref
* Remove
* Trigger CI - (issue with refs when pulling)
Co-authored-by: Arthur Zucker <arthur.zucker@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: NielsRogge <niels.rogge1@gmail.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>
Co-authored-by: Joao Gante <joao@huggingface.co>
2022-10-10 14:48:17 +01:00
APAVOU Clément
af69360bf9
Add OPTForQuestionAnswering ( #19402 )
...
* Add `OPTForQuestionAnswering`
- added `OPTForQuestionAnswering` class based on `BloomForQuestionAnswering`
- added `OPTForQuestionAnswering` in common tests
- all common tests pass
- make fixup done
* added docstrings for OPTForQuestionAnswering
* Fix docstrings for OPTForQuestionAnswering
2022-10-10 09:30:59 -04:00
Mohit Sharma
3080bb4754
Add onnx support for VisionEncoderDecoder ( #19254 )
...
* Add onnx support for VisionEncoderDecoder
* Add onnx support for VisionEncoderDecoder
* Removed unused import
* Rename encoder hidden state
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>
* Update docstrings and removed redundant code
* Added test function for enc-dec models
* Update doc string text
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>
* fixed code style
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>
2022-10-10 09:20:19 -04:00
Darío Hereñú
3410705730
Fixed duplicated line (paragraph #83 ) Documentation: @sgugger ( #19436 )
...
* Fixed duplicated line (paragraph #83 ) @omarespejel @sgugger
* Datasets map denomination fixed (paragraph 42)
2022-10-10 09:08:34 -04:00
Darío Hereñú
83dc49b69b
Backtick fixed (paragraph 68) ( #19440 )
2022-10-10 08:47:14 -04:00
Amrit Sahu
e9a49babee
[WIP] Add ZeroShotObjectDetectionPipeline ( #18445 ) ( #18930 )
...
* Add ZeroShotObjectDetectionPipeline (#18445 )
* Add AutoModelForZeroShotObjectDetection task
This commit also adds the following
- Add explicit _processor method for ZeroShotObjectDetectionPipeline.
This is necessary as pipelines don't auto infer processors yet and
`OwlVitProcessor` wraps tokenizer and feature_extractor together, to
process multiple images at once
- Add auto tests and other tests for ZeroShotObjectDetectionPipeline
* Add AutoModelForZeroShotObjectDetection task
This commit also adds the following
- Add explicit _processor method for ZeroShotObjectDetectionPipeline.
This is necessary as pipelines don't auto infer processors yet and
`OwlVitProcessor` wraps tokenizer and feature_extractor together, to
process multiple images at once
- Add auto tests and other tests for ZeroShotObjectDetectionPipeline
* Add batching for ZeroShotObjectDetectionPipeline
* Fix doc-string ZeroShotObjectDetectionPipeline
* Fix output format: ZeroShotObjectDetectionPipeline
2022-10-07 10:00:19 -04:00
Bibhabasu Mohapatra
e162cebfa3
add ONNX support for swin transformer ( #19390 )
...
* swin transformer onnx support
* Updated image dimensions as dynamic
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>
2022-10-07 09:23:24 -04:00
Alara Dirik
ae3e3bc60a
fix docs example, add object_detection to DETR docs ( #19377 )
2022-10-07 00:02:26 +02:00
Arthur
45e14038f2
Add WhisperModel to transformers ( #19166 )
...
* simplify loop
* add featur extractor
* add model
* start conversion
* add dropout
* initial commit of test files
* copnversion for all models
* update processor for correct padding
* update feature extraction
* update integration test logits match
* fmnt: off for the logits
* on the fly mel bank
* small nit
* update test
* update tokenizer
* nit feature extraction
* update
* update tokenizer test
* adds logit processor and update tokenizer to get supress tokens
* style
* clean convert
* revert to original modeling tf utils
* Update
* update
* nit
* clean convert file
* update tests and nits
* quality
* slow generation test
* ffn_dim to allow customization
* update readme
* add to toctreee
* start fixing integration tests
* update tests and code
* fix feature extractor
* fix config tests common
* update code to fix tests
* fix feature exctractor
* nit feature extraction
* update test for new feature extractor
* style
* add absrtact
* large logits wioth custom decoder input ids
* wraap around is otrch available
* fix feature extractor
* correct logits for whisper small.en
* nit
* fix encoder_attentino_mask
* some fixes
* remove unnecessary inputs
* nits
* add normalizer file
* update etst tokenization
* fix attention mask not defined
* Add model to README
* Fix doc tests
* fix generate
* remove uncoder attention mask useless
* update test modeling whisper
* update condfig to add second non supress tokens
* nits on feature exrtactor
* nit for test tokenizers
* update etsts
* update tests
* update tokenization test
* fixup
* invalidated hf token. Clean convert openai to whisper
* fix logit tests
* fixup
* clean merge
* revert toc_tree changes
* remove useless LogitProcessor
* Update whisper .mdx
* update config file doc
* update configuration docstring
* update test tokenization
* update test tokenization
* update tokenization whisper
Added copied from where needed
* update feature extraction
* nit test name
* style
* quality
* remove get suppress tokens and update non_speech tokens global variables
* Update src/transformers/models/whisper/feature_extraction_whisper.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* clean modeling whisper and test
Removed the attention mask arguments that are deprecated
* fix large test
* Add multilingual audio test, and translate test
* style
* fix larg multilingual test
* nits
* Update docs/source/en/model_doc/whisper.mdx
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* add copied from for attention layer
* remove attention masks in doc
* add english normalizer
* update tokenization test
* remove copied from in whisper attention : no bias in k_proj only
* wrap around dependencies in english normalizer
* style
* correct import generation logits
* for now, wrap feature extractor with torch
* Update src/transformers/models/whisper/convert_openai_whisper_to_tfms.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/models/whisper/configuration_whisper.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update docs/source/en/model_doc/whisper.mdx
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* remove torch depencies for feature extraction and style
* fixup
* nit
* update logitds
* style
* nit
* nits and fix final tests
* add `is_more_itertools_available` to utils
* quality
* add begin supress tokens, supress tokens to generate args and config
* clean supressTokensLogitProcessor in generation logits
* Nit naming
* add supressTokensAtBegin
* udpate tests, supress tokens to None or correct values
* nit and style
* update RAG to fit test and generate_logit
* add copy pasted statment on english normalizer
* add arguments to config_common_kwargs
* Update src/transformers/generation_utils.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/generation_logits_process.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/models/whisper/configuration_whisper.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* revert changes based on reviews
* update doc and nits
* more nits
* last nits
* update test configuration common
* add BART name in decoder attention mask documentation
* Update src/transformers/models/whisper/modeling_whisper.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* style
* nit
* nit
* add english.json file to git
* nits on documentation
* nit
* nits
* last styling
* add main toctree file
* remove sentence piece dependency
* clean init file
* fix tokenizer that has no dependencies on sentencepiece
* update whisper init file, nit
* remove english.json file
* add get decoder prompt id
* revert changes and add forced logit processor
* nit
* clean normalizer
* remove protected
* update
* Update src/transformers/models/whisper/configuration_whisper.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* update based on review
* Update src/transformers/models/whisper/configuration_whisper.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* add batched tests
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: NielsRogge <niels.rogge1@gmail.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
2022-10-05 22:28:31 +02:00
Alara Dirik
07e94bf159
Maskformer post-processing fixes and improvements ( #19172 )
...
- Improves MaskFormer docs, corrects minor typos
- Restructures MaskFormerFeatureExtractor.post_process_panoptic_segmentation for better readability, adds target_sizes argument for optional resizing
- Adds post_process_semantic_segmentation and post_process_instance_segmentation methods.
- Adds a deprecation warning to post_process_segmentation method in favour of post_process_instance_segmentation
2022-10-05 15:27:15 +03:00
Younes Belkada
587d84b178
Add BloomForQuestionAnswering ( #19310 )
...
* add bloom for question answering
- attempt to add Bloom for question answering
- adapted from `GPTJForQuestionAnswering`
- Fixed `num_labels` to `2` for common tests
- Added a bit of docstring
- All common tests pass
* Update src/transformers/models/bloom/modeling_bloom.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* revert changes related to `num_labels`
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
2022-10-04 17:52:13 +02:00
Steven Liu
68f50f3453
Breakup export guide ( #19271 )
...
* split onnx and torchscript docs
* make style
* apply reviews
2022-10-03 13:18:29 -07:00
Alara Dirik
36f52e9593
Restructure DETR post-processing, return prediction scores ( #19262 )
...
* Restructure DetrFeatureExtractor post-processing methods
* Update post_process_instance_segmentation and post_process_panoptic_segmentation methods to return prediction scores
* Update DETR models docs
2022-10-03 12:02:51 +03:00
Kashif Rasul
5cd16f01db
time series forecasting model ( #17965 )
...
* 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: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/models/time_series_transformer/__init__.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* fixed copyright
* removed docs
* remove time series tokenizer
* fixed docs
* fix text
* fix second
* fix default
* fix order
* use config directly
* undo change
* fix comment
* fix year
* fix import
* add additional arguments for training vs. test
* initial greedy inference loop
* fix inference
* comment out token inputs to enc dec
* Use HF encoder/decoder
* fix inference
* Use Seq2SeqTSModelOutput output
* return Seq2SeqTSPredictionOutput
* added default arguments
* fix return_dict true
* scale is a tensor
* output static_features for inference
* clean up some unused bits
* fixed typo
* set return_dict if none
* call model once for both train/predict
* use cache if future_target is none
* initial generate func
* generate arguments
* future_time_feat is required
* return SampleTSPredictionOutput
* removed unneeded classes
* fix when params is none
* fix return dict
* fix num_attention_heads
* fix arguments
* remove unused shift_tokens_right
* add different dropout configs
* implement FeatureEmbedder, Scaler and weighted_average
* remove gluonts dependency
* fix class names
* avoid _variable names
* remove gluonts dependency
* fix imports
* remove gluonts from configuration
* fix docs
* fixed typo
* move utils to examples
* add example requirements
* config has no freq
* initial run_ts_no_trainer
* remove from ignore
* fix output_attentions and removed unsued getters/setters
* removed unsed tests
* add dec seq len
* add test_attention_outputs
* set has_text_modality=False
* add config attribute_map
* make style
* make fix-copies
* add encoder_outputs to TimeSeriesTransformerForPrediction forward
* Improve docs, add model to README
* added test_forward_signature
* More improvements
* Add more copied from
* Fix README
* Fix remaining quality issues
* updated encoder and decoder
* fix generate
* output_hidden_states and use_cache are optional
* past key_values returned too
* initialize weights of distribution_output module
* fixed more tests
* update test_forward_signature
* fix return_dict outputs
* Update src/transformers/models/time_series_transformer/configuration_time_series_transformer.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: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/models/time_series_transformer/configuration_time_series_transformer.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: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/models/time_series_transformer/modeling_time_series_transformer.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/models/time_series_transformer/modeling_time_series_transformer.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/models/time_series_transformer/modeling_time_series_transformer.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* removed commented out tests
* added neg. bin and normal output
* Update src/transformers/models/time_series_transformer/configuration_time_series_transformer.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* move to one line
* Add docstrings
* Update src/transformers/models/time_series_transformer/configuration_time_series_transformer.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* add try except for assert and raise
* try and raise exception
* fix the documentation formatting
* fix assert call
* fix docstring formatting
* removed input_ids from DOCSTRING
* Update input docstring
* Improve variable names
* Update order of inputs
* Improve configuration
* Improve variable names
* Improve docs
* Remove key_length from tests
* Add extra docs
* initial unittests
* added test_inference_no_head test
* added test_inference_head
* add test_seq_to_seq_generation
* make style
* one line
* assert mean prediction
* removed comments
* Update src/transformers/models/time_series_transformer/modeling_time_series_transformer.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Update src/transformers/models/time_series_transformer/modeling_time_series_transformer.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* fix order of args
* make past_observed_mask optional as well
* added Amazon license header
* updated utils with new fieldnames
* make style
* cleanup
* undo position of past_observed_mask
* fix import
* typo
* more typo
* rename example files
* remove example for now
* Update docs/source/en/_toctree.yml
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* Update src/transformers/models/time_series_transformer/configuration_time_series_transformer.py
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* Update src/transformers/models/time_series_transformer/modeling_time_series_transformer.py
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* Update src/transformers/models/time_series_transformer/modeling_time_series_transformer.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update modeling_time_series_transformer.py
fix style
* fixed typo
* fix typo and grammer
* fix style
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: NielsRogge <niels.rogge1@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
2022-09-30 15:32:59 -04:00
Joao Gante
cfb777f27c
Docs - Guide to add a new TensorFlow model ( #19256 )
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Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>
2022-09-30 20:30:38 +01:00
Matt
368b649af6
Rebase ESM PR and update all file formats ( #19055 )
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* 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: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/__init__.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update README.md
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Add credit
* Remove _ args and __ kwargs in rotary embedding
* Assertively remove asserts
* Replace einsum with torch.outer()
* Fix docstring formatting
* Remove assertions in tokenization
* Add paper citation to ESMModel docstring
* Move vocab list to single line
* Remove ESMLayer from init
* Add Facebook copyrights
* Clean up RotaryEmbedding docstring
* Fix docstring formatting
* Fix docstring for config object
* Add explanation for new config methods
* make fix-copies
* Rename all the ESM- classes to Esm-
* Update conversion script to allow pushing to hub
* Update tests to point at my repo for now
* Set config properly for tests
* Remove the gross hack that forced loss of precision in inv_freq and instead copy the data from the model being converted
* make fixup
* Update expected values for slow tests
* make fixup
* Remove EsmForCausalLM for now
* Remove EsmForCausalLM for now
* Fix padding idx test
* Updated README and docs with ESM-1b and ESM-2 separately (#19221 )
* Updated README and docs with ESM-1b and ESM-2 separately
* Update READMEs, longer entry with 3 citations
* make fix-copies
Co-authored-by: Your Name <you@example.com>
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Co-authored-by: Your Name <you@example.com>
2022-09-30 14:16:25 +01:00
NielsRogge
f3d2f7a6e0
Add MarkupLM ( #19198 )
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* 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>
2022-09-30 08:25:43 +02:00
mustapha ajeghrir
ba9e336fa3
Fix m2m_100.mdx doc example missing labels ( #19149 )
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The `labels` variable is not defined, the `model_inputs` already contain this information.
2022-09-29 13:27:58 +02:00
Aritra Roy Gosthipaty
0dc7b3a785
[TensorFlow] Adding GroupViT ( #18020 )
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* 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>
2022-09-29 10:48:04 +01:00
Steven Liu
6957350c2b
Focus doc around preprocessing classes ( #18768 )
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* 📝 reframe docs around preprocessing classes
* small edits
* edits and review
* fix typo
* apply review
* clarify processor
2022-09-28 17:09:44 -07:00
Steven Liu
990936a868
Move AutoClasses under Main Classes ( #19163 )
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* move autoclasses to main classes
* keep auto.mdx in model_doc
2022-09-28 17:09:29 -07:00
Nicola Procopio
e3a30e2b99
translated add_new_pipeline ( #19215 )
2022-09-27 08:55:41 -04:00
Wang, Yi
88f597ba6a
add doc for hyperparameter search ( #19192 )
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* add doc for hyperparameter search
* update doc
2022-09-27 07:51:51 -04:00
Sylvain Gugger
c20b2c7e18
Use repo_type instead of deprecated datasets repo IDs ( #19202 )
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* Use repo_type instead of deprecated datasets repo IDs
* Add missing one in doc
2022-09-26 09:50:48 -04:00
flozi00
fa4eeb4fd3
german training, accelerate and model sharing ( #19171 )
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* correct spelling in README
* processing
* german training
* accelerate
* german model sharing
* build doc
* ttf links
* casing
2022-09-23 14:52:09 -04:00
Alara Dirik
7e84723fe4
Add semantic segmentation post-processing method to MobileViT ( #19105 )
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* add post-processing method for semantic segmentation
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
2022-09-23 16:24:28 +03:00
Wang, Yi
e5b7cff5fe
update perf_train_cpu_many doc ( #19151 )
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Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
2022-09-22 09:20:15 -04:00
NielsRogge
cf6308ef9b
Improve conditional detr docs ( #19154 )
...
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
2022-09-22 13:21:05 +02:00
Sayak Paul
2d9853b226
MSN (Masked Siamese Networks) for ViT ( #18815 )
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* 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: Niels <niels.rogge1@gmail.com>
* chore: formatting.
* code quality fix.
* chore: remove pooler.
* feat: add classification top.
* fix: configuration object.
* add: initial test cases (one failing).
* fix: basemodeloutput.
* add: caution on using the classification head.
* add: rest of the model related files.
* add: vit msn readme.
* fix: copied from statement.
* fix: dummy objects.
* add: ViTMSNPreTrainedModel to inits.
* fix: repo consistency.
* minor change in the model doc.
* fix: tests.
* Empty-Commit
* Update src/transformers/models/vit_msn/configuration_vit_msn.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* address PR comments.
* Update src/transformers/models/vit_msn/modeling_vit_msn.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* chore: put model in no_grad() and formatting.
Co-authored-by: Niels <niels.rogge1@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
2022-09-22 07:15:03 -04:00
NielsRogge
9393f966bc
[fix] Add DeformableDetrFeatureExtractor ( #19140 )
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* Add DeformableDetrFeatureExtractor
* Fix post_process
* Fix name
* Add tests for feature extractor
* Fix doc tests
* Fix name
* Address comments
* Apply same fix to DETR and YOLOS as well
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
2022-09-22 09:45:24 +02:00
DepuMeng
126a739058
Add support for conditional detr ( #18948 )
...
* added conditional_detr files
* checked copies
* checked copies
* fixed style and copies
* fixed style and copies
* fixed hub
* fixed style
* Update README.md
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* Update docs/source/en/_toctree.yml
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* Update docs/source/en/index.mdx
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* Update src/transformers/models/conditional_detr/configuration_conditional_detr.py
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* Update src/transformers/models/conditional_detr/convert_conditional_detr_original_pytorch_checkpoint_to_pytorch.py
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* Update src/transformers/models/conditional_detr/configuration_conditional_detr.py
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* Update docs/source/en/model_doc/conditional_detr.mdx
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* Update src/transformers/models/conditional_detr/configuration_conditional_detr.py
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* Update src/transformers/models/conditional_detr/configuration_conditional_detr.py
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* Update src/transformers/models/conditional_detr/configuration_conditional_detr.py
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* fixed some doc issue
* changed prefix to ConditionalDetr
* fixed docs
* Update README_ko.md
* added spatial_model_name
* fixed fix-copies
* Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py
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* Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py
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* Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py
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* Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py
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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py
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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py
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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py
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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py
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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py
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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py
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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py
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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py
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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py
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* added some copied from
* added some copied from
* added some copied from
* added some copied from
* fixed use_pretrained issue
* changed post-process
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* checked copies
* checked copies
* fixed style and copies
* fixed style and copies
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* Update src/transformers/models/conditional_detr/configuration_conditional_detr.py
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* fixed some doc issue
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* Update src/transformers/models/conditional_detr/configuration_conditional_detr.py
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* Update src/transformers/models/conditional_detr/configuration_conditional_detr.py
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* changed prefix to ConditionalDetr
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* Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py
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* Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py
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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py
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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py
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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py
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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py
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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py
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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py
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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py
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* Update src/transformers/models/conditional_detr/modeling_conditional_detr.py
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* added some copied from
* added some copied from
* added some copied from
* added some copied from
* fixed use_pretrained issue
* changed post-process
* fix style quality and copies
* fix style quality and copies
* fix style quality and copies
* fix style quality and copies
* add more fix-copies
* Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py
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* fixed some variable names & added more fix-copies
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* added more copied from
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* changed pretrained config
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* added conditional_detr files
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* fixed some doc issue
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* Update src/transformers/models/conditional_detr/configuration_conditional_detr.py
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* Update src/transformers/models/conditional_detr/configuration_conditional_detr.py
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* changed prefix to ConditionalDetr
* fixed docs
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* added some copied from
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* added some copied from
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* fix style quality and copies
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* rebased
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Co-authored-by: Depu Meng <depumeng@Depus-MacBook-Pro.local>
2022-09-22 09:45:04 +02:00
Alara Dirik
e7fdfc720a
Add post_process_semantic_segmentation method to DPTFeatureExtractor ( #19107 )
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* add post-processing method for semantic segmentation
* add test for post-processing
2022-09-21 15:15:26 +03:00
Alara Dirik
9e95706648
Add post_process_semantic_segmentation method to SegFormer ( #19072 )
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* add post_process_semantic_segmentation method to SegformerFeatureExtractor
* add test for semantic segmentation post-processing
2022-09-21 11:40:35 +03:00
flozi00
de26241645
german processing ( #19121 )
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* correct spelling in README
* processing
2022-09-20 09:18:21 -04:00
Alara Dirik
c81ebd1c39
Beit postprocessing ( #19099 )
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* add post_process_semantic_segmentation method to BeiTFeatureExtractor
2022-09-20 10:41:56 +03:00
NielsRogge
e7206ceab9
Improve vision models docs ( #19103 )
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* Add tips
* Add BEiT figure
* Fix URL
* Move tip to start
* Add tip to TF model as well
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
2022-09-19 19:22:34 +02:00
flozi00
ae219532e3
german autoclass ( #19049 )
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* german autoclass
* Update _toctree.yml
2022-09-16 16:16:00 -04:00
Stas Bekman
8edf196310
[doc] debug: fix import ( #19042 )
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correct the import statement
2022-09-14 16:29:58 -07:00
Hakjin Lee
abca1741cf
Fix a broken link for deepspeed ZeRO inference in the docs ( #19001 )
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* Fix a broken link for deepspeed ZeRO inference
* fix link
Co-authored-by: Stas Bekman <stas@stason.org>
2022-09-14 16:21:06 -07:00
Shinya Otani
f5f430e5c8
Add support for Japanese GPT-NeoX-based model by ABEJA, Inc. ( #18814 )
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* 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
2022-09-14 10:17:40 -04:00
NielsRogge
59407bbeb3
Add Deformable DETR ( #17281 )
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* 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>
2022-09-14 11:45:21 +02:00
Chris Emezue
470799b3a6
Removed issue in wav2vec link ( #18945 )
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Fix connected to [this issue](https://github.com/huggingface/transformers/issues/18944 )
2022-09-12 21:59:19 +02:00
Tobias Nusser
4c2e983f44
Fixed typo ( #18921 )
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Fixed typo itmes --> items
2022-09-12 21:03:48 +02:00
Rafał Jankowski
85125fcffd
Neptune.ai integration improvements ( #18934 )
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* NeptuneCallback improvements
* After review suggestions and deduplication of initial run
* Added volatile checkpoints support due to missing post-rebase commit
* Update README per review comments
- Remove list formatting
- Correct Neptune docs link
Co-authored-by: Sabine <sabine.nyholm@neptune.ai>
2022-09-09 11:37:34 -04:00
HuYong
22f7218560
add task_type_id to BERT to support ERNIE-2.0 and ERNIE-3.0 models ( #18686 )
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* 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: ydshieh <ydshieh@users.noreply.github.com>
2022-09-09 07:36:46 -04:00
NielsRogge
bb6f6d5338
Add X-CLIP ( #18852 )
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* 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
2022-09-08 14:50:30 +02:00
Devlee247
9832ac7c73
Fix LayoutXLM wrong link in README ( #18932 )
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* fix LayoutXLM wrong link in README
* fix LayoutXLM worng link in index.mdx
2022-09-08 07:32:41 -04:00
Steven Liu
90f6fe9155
Skip some doctests in quicktour ( #18927 )
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* skip some code examples for doctests
* make style
* fix code snippet formatting
* separate code snippet into two blocks
2022-09-07 14:45:22 -07:00
Ankur Goyal
2ef7742117
Add DocumentQuestionAnswering pipeline ( #18414 )
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* [WIP] Skeleton of VisualQuestionAnweringPipeline extended to support LayoutLM-like models
* Fixup
* Use the full encoding
* Basic refactoring to DocumentQuestionAnsweringPipeline
* Cleanup
* Improve args, docs, and implement preprocessing
* Integrate OCR
* Refactor question_answering pipeline
* Use refactored QA code in the document qa pipeline
* Fix tests
* Some small cleanups
* Use a string type annotation for Image.Image
* Update encoding with image features
* Wire through the basic docs
* Handle invalid response
* Handle empty word_boxes properly
* Docstring fix
* Integrate Donut model
* Fixup
* Incorporate comments
* Address comments
* Initial incorporation of tests
* Address Comments
* Change assert to ValueError
* Comments
* Wrap `score` in float to make it JSON serializable
* Incorporate AutoModeLForDocumentQuestionAnswering changes
* Fixup
* Rename postprocess function
* Fix auto import
* Applying comments
* Improve docs
* Remove extra assets and add copyright
* Address comments
Co-authored-by: Ankur Goyal <ankur@impira.com>
2022-09-07 13:38:49 -04:00
Matt
2b9513fdab
Update TF fine-tuning docs ( #18654 )
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* Update TF fine-tuning docs
* Fix formatting
* Add some section headers so the right sidebar works better
* Squiggly it
* Update docs/source/en/training.mdx
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/training.mdx
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/training.mdx
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/training.mdx
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* Update docs/source/en/training.mdx
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/training.mdx
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/training.mdx
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/training.mdx
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/training.mdx
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/training.mdx
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/training.mdx
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/training.mdx
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Update docs/source/en/training.mdx
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Explain things in the text, not the comments
* Make the two dataset creation methods into a list
* Move the advice about collation out of a <Tip>
* Edits for clarity
* Edits for clarity
* Edits for clarity
* Replace `to_tf_dataset` with `prepare_tf_dataset` in the fine-tuning pages
* Restructure the page a little bit
* Restructure the page a little bit
* Restructure the page a little bit
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
2022-09-07 13:30:07 +01:00
