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* Add SwinBackbone

* Add hidden_states_before_downsampling support

* Fix Swin tests

* Improve conversion script

* Add id2label mappings

* Add vistas mapping

* Update comments

* Fix backbone

* Improve tests

* Extend conversion script

* Add Swin conversion script

* Fix style

* Revert config attribute

* Remove SwinBackbone from main init

* Remove unused attribute

* Use encoder for ResNet backbone

* Improve conversion script and add integration test

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

Co-authored-by: EC2 Default User <ec2-user@ip-172-31-40-169.us-west-2.compute.internal>

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

* update actions versions

* update actions versions

* update actions versions

* update actions versions
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* fix cuda OOM by using single Prior

* only send to device when used

* use custom model

* Skip the big slow test

* Update tests/models/jukebox/test_modeling_jukebox.py
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>

* Remove assert exception not triggered

* Fix wrong expected exception string

* fix

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

* updating T5 and BART models to support Prefix Tuning

* `make fix-copies`

* address comments

* address comments

docstrings could be `None` if Python optimize level is set to 2.

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

* [WIP] Rework the pipeline tutorial

- Switch to `asr` instead of another NLP task.
- It also has simpler to understand results.
- Added a section with interaction with `datasets`.
- Added a section with writing a simple webserver.

* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Addressing comments.

* Links.

* Fixing docs format.

* Adding pipeline_webserver to _toctree.

* Warnig -> Tip warnings={true}.

* Fix link ?

* Links ?

* Fixing link, adding chunk batching.

* Oops.

* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/pipeline_tutorial.mdx
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* split autoclasses on modality

* apply review

* auto classes

* change to image_processor

* apply review

* Created README_hd.md

A Hindi Translation for README

* updated check_copies.py

Added the Proper info for Hindi Translation of README File !

* updated README_hd.md

Fixed some translation issues !

* Update README_hd.md

* Update README_hd.md

* Update README_hd.md

* fixing 🐛 for `make fix-copies`

* run `make fix-copies`

* `make fix-copies` 😅

Co-authored-by: Akshit Gulyan <103456810+AkshitGulyan@users.noreply.github.com>

* add whisper conversion scrip

* update conversion script

* update arg names

* fix missing encoder_ffn_dim

* fixup

* ast nits

* [Whisper] Fix decoder ids methods

* enum property

* add v1 with tests

* add checker

* simplified version

* update docstring

* better version

* fix docstring + change order

* make style

* tests + change conditions

* final tests

* modify docstring

* Update src/transformers/feature_extraction_utils.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* replace by `ValueError`

* fix logic

* apply suggestions

* `dtype` is not needed

* adapt suggestions

* remove `_parse_args_to_device`
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* remove set-output
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Fix whisper and speech to text doc
# What does this PR do?
Previously the documentation was badly indented for both models and indicated that
> If `decoder_input_ids` and `decoder_inputs_embeds` are both unset, `decoder_inputs_embeds` takes the value of `inputs_embeds`.`
Which is on valid for the forward pass of the `ForConditionnalGeneration` not for the model alone.

* other fixes

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

* Fix link to table transformer detection microsoft model

* Fix doc styles

* rembert onnx config

* formatting
Co-authored-by: Ho <erincho@bcd0745f972b.ant.amazon.com>

* add type annotations for esm chunk_utils

use isinstance builtin instead of 'type(x) is y'; add assertions to aid in type inferencing; use bools instead of ints in _get_minimal_slice_set for improved type clarity; refactor to avoid re-assigning to the same variable with a different type

* add type annotations for esm data_transforms

refactor to avoid re-assigning to the same variable with a different type

* add type annotations for esm feats utils

refactor to avoid re-assigning to the same variable with a different type

* add type annotations for esm loss utils

* add/fix type annotations for esm rigit_utils

refactor to avoid re-assigning to the same variable with a different type; fix Callable, Tuple type hints; match conditional structure to other methods; fix return type on Rotation.cat and Rotation.unsqueeze

* add type annotations for esm tensor_utils

overload for tree_map; use insinstance builtin instead of 'type(x) is y'; export dict_multimap, flatten_final_dims, permute_final_dims in openfold_utils

* add type annotations for esm protein utils

add FIXME for attempted string mutation; add missing None check in get_pdb_headers; fix potentially unbound variable 'chain_tag' in to_pdb; modify get_pdb_headers return type

* add type annotations for esm residue constants

hints on collection constants; remove magic trailing comma to reduce number of lines; change list -> tuple for rigid_group_atom_positions for improved hinting

* code style fixup
Co-authored-by: Matt <rocketknight1@gmail.com>

* Make convert_to_onnx runable as script again

Fix `convert_graph_to_onnx.py` relative import so it can be run as a script again.

* Trigger CI

* add support for `from_pt`

* add tf_flax utility file

* Update src/transformers/modeling_tf_flax_utils.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* remove flax related modifications

* add test

* remove FLAX related commits

* fixup

* remove safetensor todos

* revert deletion
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Expected output for the test changed

* fix failing asr test

* 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

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

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

* Remove is_encoder_decoder from some vision models

* cleanup more

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