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docs: fix some references in PyTorch text classification readme

Bump cryptography from 36.0.2 to 39.0.1 in /examples/research_projects/decision_transformer (#21507)

Bump cryptography in /examples/research_projects/decision_transformer

Bumps [cryptography](https://github.com/pyca/cryptography) from 36.0.2 to 39.0.1.
- [Release notes](https://github.com/pyca/cryptography/releases)
- [Changelog](https://github.com/pyca/cryptography/blob/main/CHANGELOG.rst)
- [Commits](https://github.com/pyca/cryptography/compare/36.0.2...39.0.1

)

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

added with torch.no_grad() to the integration tests and applied make style
Co-authored-by: Bibi <Bibi@katies-mac.local>

check for mapping/dict in distributed_concat function

Co-authored-by: prajwal967 <user.email>

* doc: introduce new section for XLM-V model

* doc: mention more details for XLM-V integration

* docs: paper abstract in italics, model identifier for base model added

* doc: mention new XLM-V support

* auto: add XLM-V mapping

* doc: run make fix-copies ;)

* added inverse sqrt lr scheduler

* Updated get_scheduler in src/transformers/optimization.py

* Updated src/transformers/__init__.py

* Added inverse sqrt lr scheduler test

* Updated docs/source/en/main_classes/optimizer_schedules.mdx

* Ran style and quality scripts

* Fix get_inverse_sqrt_schedule docstring

* Comment implementation URL

* [tokenizer] sanitize saved config

* rm config["name_or_path"] test

* Remove mentions of flake8/isort

* Clean up inits

* Deall with all other inits

* Last special rule for dummy files

* Add limit_all_gathers option to fsdp_config and fix forward_prefetch bug

* Fix black issue

* Fix ruff failure

* Incorporate PR feedbacks

* Incorporate PR feedbacks

* Incorporate PR feedbacks

* Add a new test to check config attributes being used

* Add a new test to check config attributes being used

* Add a new test to check config attributes being used

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Apply suggestions

* Update allowed cases - part 1

* Update allowed cases - part 2

* final

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

* Add ("opt", ("GPT2Tokenizer", "GPT2TokenizerFast" if is_tokenizers_available() else None)),

* skip failing test

* Add ("opt", ("GPT2Tokenizer", "GPT2TokenizerFast" if is_tokenizers_available() else None)),

* skip failing test

Sanity check the type of id2label and label2id arguments of from_pretrained for TokenClassification models (#21490)

* Sanity check the type of id2label and label2id arguments of from_pretrained for TokenClassification models

* Incorporate PR feedbacks

* Incorporate PR feedbacks

* Typos/fixes to link syntax

* Trying section headers

* Add header formatting for Rule #3

fix int8 docs

* fix past renamed to past_key_value

* update more `past`that were ski^êd

* fixup

* remove changes made to rag

* refactor `_reorder_cache` to use `past_key_values`

* fix git `prepare_inputs_for_generation` to pass tests when false is needed in use_cache

* Deprecate parallelize API

* Add documentation

* Fix copies

Bump oauthlib in /examples/research_projects/decision_transformer

Bumps [oauthlib](https://github.com/oauthlib/oauthlib) from 3.2.1 to 3.2.2.
- [Release notes](https://github.com/oauthlib/oauthlib/releases)
- [Changelog](https://github.com/oauthlib/oauthlib/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/oauthlib/oauthlib/compare/v3.2.1...v3.2.2

)

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

* Result of black 23.1

* Update target to Python 3.7

* Switch flake8 to ruff

* Configure isort

* Configure isort

* Apply isort with line limit

* Put the right black version

* adapt black in check copies

* Fix copies

* Add tips for generation with Int8 models

* Empty commit to trigger CI

* Apply suggestions from code review
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Update docs/source/en/perf_infer_gpu_one.mdx
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

---------
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Translate index page to French

* Fix indent

* Fix toctree

* Replace missing file by in_translation

* Add index

* Update docs/source/fr/index.mdx
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

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

* Removing `more_itertools` dependency.

* Update examples/research_projects/vqgan-clip/requirements.txt

* make doc examples deterministic

* add IGNORE_RESULT

* do not use prefix="val" for test

The dummy example fails when test_epoch_end is called. The prefix="test" should be dynamic in the log metrics too.

* Create test.source

* Create test.target

docs: update PushToHubCallback import in docs

updated documentation

* Update perf_train_cpu.mdx

* Update perf_train_cpu.mdx

* Update perf_train_cpu.mdx

* Update docs/source/en/perf_train_cpu.mdx
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update perf_train_cpu.mdx

* Update perf_train_cpu.mdx

* Update perf_train_cpu.mdx

* Update perf_train_cpu.mdx

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