GitLab

* ✅ Update image-classification example's tests

* 🔥 remove cats_and_dogs test samples

* 💄 fix flake8

* ✨ add pytorch image classification example

* 🔥 remove utils.py

* 💄 fix flake8 style issues

* 🔥 remove unnecessary line

* ✨ limit dataset sizes

* 📌 update reqs

* 🎨 restructure - use datasets lib

* 🎨 import transforms directly

* 📝 add comments

* 💄 style

* 🔥 remove flag

* 📌 update requirement warning

* 📝 add vision README.md

* 📝 update README.md

* 📝 update README.md

* 🎨 add image-classification tag to model card

* 🚚 rename vision ➡️ image-classification

* 📝 update image-classification README.md

[Flax/run_hybrid_clip] Fix duplicating images when captions_per_image exceeds the number of captions, enable truncation 

* Add generate kwargs to Seq2SeqTrainingArguments

* typo

* Address review comments + doc

* Style

* examples: only use keep_linebreaks when reading TXT files for all CLM examples

* examples: only use keep_linebreaks when reading TXT files for all CLM examples

* examples: only use keep_linebreaks when reading TXT files for all CLM examples

* fix_torch_device_generate_test

* remove @

* finish find and replace

* examples: add keep_linebreaks option to text dataset loader for all CLM examples

* examples: introduce new keep_linebreaks option as data argument in CLM examples

Bumps [notebook](http://jupyter.org

) from 6.1.5 to 6.4.1.

---
updated-dependencies:
- dependency-name: notebook
  dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* Update torch.utils.data namespaces to the latest.

* Format

* Update Dataloader.

* Style

* allow passing params to image and text feature method

* ifx for hybrid clip as well

* Remove hf_api module and use hugginface_hub

* Style

* Fix to test_fetcher

* Quality

* Initialize VisualBERT demo

* Update demo

* Add commented URL

* Update README

* Update README

* fix_torch_device_generate_test

* remove @

* improve docs for clm

* speed-ups

* correct t5 example as well

* push final touches

* Update examples/flax/language-modeling/README.md

* correct docs for mlm

* Update examples/flax/language-modeling/README.md
Co-authored-by: Patrick von Platen <patrick@huggingface.co>

* Fix tied weights on TPU

* Manually tie weights in no trainer examples

* Fix for test

* One last missing

* Gettning owned by my scripts

* Address review comments

* Fix test

* Fix tests

* Fix reformer tests

* fix_torch_device_generate_test

* remove @

* update

* up

* fix

* remove f-stings

* correct readme

* up
Co-authored-by: Patrick von Platen <patrick@huggingface.co>

* [Flax] Align device name in docs

* make style

* fix import error

* fix typo in example/text-classification README

* add space to align the table

help for `ModelArguments.gradient_checkpointing` should be
"If True, use gradient checkpointing to save memory
at the expense of slower backward pass."
not "Whether to freeze the feature extractor layers of the model."
(which is duplicated from `freeze_feature_extractor` arg)

* fix distiller

* fix style

* Fixed train_test_split test_size argument

* `Seq2SeqTrainer` set max_length and num_beams only when non None  (#12899)

* set max_length and num_beams only when non None

* fix instance variables

* fix code style

* [FLAX] Minor fixes in CLM example (#12914)

* readme: fix retrieval of vocab size for flax clm example

* examples: fix flax clm example when using training/evaluation files

* Fix module path for symbolic_trace example
Co-authored-by: cchen-dialpad <47165889+cchen-dialpad@users.noreply.github.com>
Co-authored-by: Stefan Schweter <stefan@schweter.it>
Co-authored-by: Sylvain Gugger <sylvain.gugger@gmail.com>

* readme: fix retrieval of vocab size for flax clm example

* examples: fix flax clm example when using training/evaluation files

* Add new multiple-choice example, remove old one