GitLab

* Remove BertConfig inheritance from RobertaConfig

* Fix Typo: BERT to RoBERTa

* Improve tiny model creation script

* sort the list of models to upload
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* AutoImageProcessor skeleton

* Update references

* Add mapping in init

* Add model image processors to __init__ for importing

* Add AutoImageProcessor tests

* Fix up

* Image Processor documentation

* Remove pdb

* Update docs/source/en/model_doc/mobilevit.mdx

* Update docs

* Don't add whitespace on json files

* Remove fixtures

* Move checking model config down

* Fix up

* Add check for image processor

* Remove FeatureExtractorMixin in docstrings

* Rename model_tmpfile to config_tmpfile

* Don't make None if not in image processor map

* Make default labels for non-pretrained models

* Fix the has_labels test instead

* add roc_bert

* update roc_bert readme

* code style

* change name and delete unuse file

* udpate model file

* delete unuse log file

* delete tokenizer fast

* reformat code and change model file path

* add RocBertForPreTraining

* update docs

* delete wrong notes

* fix copies

* fix make repo-consistency error

* fix files are not present in the table of contents error

* change RocBert -> RoCBert

* add doc, add detail test
Co-authored-by: weiweishi <weiweishi@tencent.com>

* Add first draft

* Update conversion script

* Improve conversion script

* Improve conversion script some more

* Add conditional embeddings

* Add initial decoder

* Fix activation function of decoder

* Make decoder outputs match original implementation

* Make decoder outputs match original implementation

* Add more copied from statements

* Improve model outputs

* Fix auto tokenizer file

* Fix more tests

* Add test

* Improve README and docs, improve conditional embeddings

* Fix more tests

* Remove print statements

* Remove initial embeddings

* Improve conversion script

* Add interpolation of position embeddings

* Finish addition of interpolation of position embeddings

* Add support for refined checkpoint

* Fix refined checkpoint

* Remove unused parameter

* Improve conversion script

* Add support for training

* Fix conversion script

* Add CLIPSegFeatureExtractor

* Fix processor

* Fix CLIPSegProcessor

* Fix conversion script

* Fix most tests

* Fix equivalence test

* Fix README

* Add model to doc tests

* Use better variable name

* Convert other checkpoint as well

* Update config, add link to paper

* Add docs

* Update organization

* Replace base_model_prefix with clip

* Fix base_model_prefix

* Fix checkpoint of config

* Fix config checkpoint

* Remove file

* Use logits for output

* Fix tests
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* [Audio Processor] Only pass sr to feat extractor

* move out of if/else

* copy to other processors

* add new terms

* apply review

* docs: Fixed variables in f-strings

* Replace unknown `block` with known `block_type` in ValueError
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Add missing torch import in docs code block
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* docs: Fix typo in ONNX parser help: 'tolerence' => 'tolerance'

* docs: Resolve many typos in the English docs

Typos found via 'codespell ./docs/source/en'

With https://github.com/TimDettmers/bitsandbytes, which is by the same author and is still being updated

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* swap RobertaConfig with PretrainedConfig

* Add camembert specific attributes

* Add PretrainedConfig docstring

* Add arguments docstring

* Change CamembertConfig docstring definition

* Fix typo CamembertConfig -> CamembertModel

* Fix typo BertModel -> CamembertModel

* Fix style of CamembertConfig

* Add example docstring for DPRConfig

* Add DPRConfig to documentation_tests

* Add contrastive search

* Update defaults and logic to match old FE

* Use docker run rest values

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* POC

* For more CLIP-like models
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

Update documentation on seq2seq models with absolute positional embeddings, to be in line with Tips section for BERT and GPT2 (#20068)
Co-authored-by: jordiclive <jordiclive19@imperial.ac.uk>

* Update READMEs for ESMFold and add notebooks

* Fix PyCharm formatting

* make fix-copies

* Fix Swin

* Remove file

* Update code snippet

* Add copied from to maskformer

* Fix docstring

* Add whole name to replace
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* Poolformer image processor defaults to previous FE

* Remove unnecessary math.floor

* Fix esm lm head test

* make fixup

* Speed up TF postprocessing by converting to numpy before

* Fix bug that was triggered when offset_mapping was None
Co-authored-by: Patrick Deutschmann <patrick.deutschmann@dedalus.com>

* Only resize embeddings when necessary

* Add comment

* Update ESM conversion script for ESMfold

* Fix bug in ESMFold example

* make fixup and move restypes to one line

fix jit trace error for model forward sequence is not aligned with jit.trace tuple input sequence, update related doc (#19891)

* fix jit trace error for classification usecase, update related doc
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

* add implementation in torch 1.14.0
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

* update_doc
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

* update_doc
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>