GitLab

* move contrastive search test to slow

* test hub tf callback

* create repo before cloning it

* Image transforms functionality used instead

* Import torch

* Import rather than copy

* Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py

* Adding doctest for `object-detection` pipeline.

* Removed nested_simplify.

* Adding `zero-shot-object-detection` pipeline doctest.

* Remove nested_simplify.

* 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>

* update part of the doc

* add temp values, fix part of the doc

* add template outputs

* add correct models and outputss

* style

* fixup

* Update configuration_deformable_detr.py comment

* Add DeformableDetrConfig to documentation_tests.txt

* 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>

* 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

* Adding doctest for `token-classification` pipeline.

* Adding doctest to `token-classification` pipeline.

* Remove nested_simplify.

* Adding `zero-shot-object-detection` pipeline doctest.

* Adding doctest for `image-to-text` pipeline.

* Remove nested_simplify.

* Add resources of OpenAI GPT

* Delete Deploy section and add .

* Add scripts

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

* Delete causal-language-modeling section

* Add TFOpenAIGPTLMHeadModel

* Add resources from community

* Delete a link
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Adding doctest for `question-answering` pipeline.

* Remove nested simplify.

* Adding doctest for `text-classification` pipeline.

* Remove nested_simplify.

* Adding doctest for `visual-question-answering` pipeline.

* Remove nested_simplify.

* Adding doctest for `zero-shot-classification` pipeline.

* Removing nested_simplify.

* Adding doctest for `zero-shot-image-classification` pipeline.

* Remove nested_simplify.

* adding doctest example for `image-classification` pipeline.

* Remove nested simplify.

* Rephrasing the link.

* Removing `nested_simplify` within doctests.

* Fixup.

* Adding doctest for `image-segmentation` pipeline.

* Fixup.

* Adding an example for `depth-estimation` pipeline.

* Adding missing internal link to tutorial.

* Adding doctest for doc qa.

* Adding doctest for doc qa.

* Fixup.

* Adding ASR pipeline example.

* De indent.

* Example deindent.

* Fixing example ?

* Putting the example in a more prominent place.

* Fixup.

* Adding the file.

* Adding the doctest to the daily test.

* Fixing comments.

* transcriber name.

* Adding `>>>`.

* Removing assert.

* Adding doctest for `feature-extraction`.

* Update feature_extraction.py

* Updating the doctest for conversational.

- Make it tested against
- Add explicit output in the test.

* Removing assert.

* Adding missing link.

* Adding `audio-classification` example in the doc.

* Adding `>>>` to get the real test.

* Removing assert.

* Fixup.

Adds image-guided object detection method to OwlViTForObjectDetection class as described in the original paper. One-shot/ image-guided object detection enables users to use a query image to search for similar objects in the input image.

Co-Authored-By: Dhruv Karan k4r4n.dhruv@gmail.com

* Allow trainer to return loss for CLIP-like models

* Apply suggestions

* update

* update

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

* Update reqs to include min gather_for_metrics Accelerate version

* Other reqs

* WIP: Added CLIP resources from HuggingFace blog

* ADD: Notebooks documentation to clip

* Add link straight to notebook
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Change notebook links to colab
Co-authored-by: Ambuj Pawar <your_email@abc.example>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Add to DeBERTa resources

* Fix mistakes with chapter number

* Add fill-mask pipeline

* Add sequence, token and QA pipeline

* Change token classification pipeline order

* Remove flax script and notebook links