GitLab

* Add the ImageClassificationPipeline

* Code review
Co-authored-by: patrickvonplaten <patrick.v.platen@gmail.com>

* Have `load_image` at the module level
Co-authored-by: patrickvonplaten <patrick.v.platen@gmail.com>

* fixing tests

* cleanup

* Base move

* Examples reorganization

* Update references

* Put back test data

* Move conftest

* More fixes

* Move test data to test fixtures

* Update path

* Apply suggestions from code review
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Address review comments and clean
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Updated stale bot

* Specify issue number

* Remove particular handling of assignees

* Unleash the stalebot

* Remove debug branch

* Run CI on deepspeed and fairscale

* Test it on this branch :)

* Rename

* Update the CI image

* make fairscale and deepspeed setup extras

* fix default

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

* no reason not to ask for the good version

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

* Add fairscale and deepspeed back to the CI

* Add deepspeed to single GPU tests

* Add more metadata to the user agent

* Fix typo

* Use DISABLE_TELEMETRY

* Address review comments

* Use global env

* Add clean envs on circle CI

* Tests run on Docker
Co-authored-by: Morgan <funtowiczmo@gmail.com>

* Comments from code review

* Reply to itself

* Dependencies
Co-authored-by: Morgan <funtowiczmo@gmail.com>

* Enable torch 1.8.0 in GPU CI

* Disable torch-scatter

* Add stale bot to Github Actions

* Update message

* Message for assignee

* Update scripts/stale.py

* Uncomment & stop testing

* fix invalid port

* missing requirements

* conda build -> conda-build

* Syntax error

* conda build -> conda-build + 4.2.0

* Prepare to merge in `master`

* Fix conversational pipeline test

* LayoutLM

* ProphetNet

* BART

* Blenderbot & small

* Marian

* mBART

* Pegasus

* Tapas tokenizer

* BERT2BERT test

* Style

* Example requirements

* TF BERT2BERT test

* Use the right version of tokenizers

* Try another way

* Try another way

* Deps are installed from there...

* Deps are installed from there...

* Revert last

* remove needless comment

* Don't import libs to check they are available

* Don't import integrations at init

* Add importlib_metdata to deps

* Remove old vars references

* Avoid syntax error

* Adapt testing utils

* Try to appease torchhub

* Add dependency

* Remove more private variables

* Fix typo

* Another typo

* Refine the tf availability test

* adapt cookie cutter

* fix copy past statement

* delete copy statements for now

* remove unused import from template

* make doc rst

* correct config docstring

* correct training

* correct inputs processing tf enc dec

* make style

* adapt templates

* clean tabs

* correct tensor -> Tensor naming

* correct indent

* correct templates

* fix the test

* break lines to avoid > 119

* Apply suggestions from code review