* Convert file_utils docstrings to Markdown
* Test on BERT
* Return block indent
* Temporarily disable doc styler
* Remove from quality checks as well
* Remove doc styler mess
* Remove check from circleCI
* Fix typo
* Convert file_utils docstrings to Markdown
* Test on BERT
* Return block indent
* Temporarily disable doc styler
* Remove from quality checks as well
* Remove doc styler mess
* Remove check from circleCI
* Fix typo
* Let's go on all other model files
* Add templates too
* Styling and quality
* Add a main_input_name attribute to all models
* Fix tests
* Wtf Vs Code?
* Update src/transformers/models/imagegpt/modeling_imagegpt.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Style
* Fix copies
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Implement head_mask for Flax BERT and other models copied from BERT
* Remove `from jax._src.nn.functions import sigmoid`
Remove `from jax._src.nn.functions import sigmoid` unintentionally added by IDE
* Remove no more valid copy statement
* Apply patil-suraj's suggestions from code review
* Apply suggestions from the code review
* Update Flax template
* Fix a typo
* Also update template for CausalLM modules
* PoC for conserving old links
* Do the same for other links
* remap the redirects section
* add instructions on how to move sections
* improve
Co-authored-by: Stas Bekman <stas@stason.org>
* Initial commit for Keras model cards
* Revert accidental change
* make style
* make style
* make style
* Fix PR comments
* Move repo creation to __init__
* Fixes to README.md creation
* Partial progress for proper card creation on `push_to_hub`
* Proper card creation from `push_to_hub` plus fixes for malformed model cards
* Fixes for model card creation outside the callback
* Adding a model card creation test
* Putting the model card creation test in the right file.
Good job, Matt.
* make style
* Fix model card test temp dir usage
* Fix model card creation when no optimizer present
* Fixes for when training history not present
* Fix accidental edit to test_modeling_common
* Adding support for multiple mask tokens.
- Original implem: https://github.com/huggingface/transformers/pull/10222
Co-authored-by: njafer <naveen.jafer@oracle.com>
* In order to accomodate optionally multimodal models like Perceiver
we add information to the tasks to specify tasks where we know for sure
if we need the tokenizer/feature_extractor or not.
* Adding info in the documentation about multi masks.
+ marked as experimental.
* Add a copy() to prevent overriding the same tensor over and over.
* Fixup.
* Adding small test for multi mask with real values..
Co-authored-by: njafer <naveen.jafer@oracle.com>
* Adding some slow test to check for perceiver at least from a high level.
* Re-enabling fast tests for Perceiver ImageClassification.
* Perceiver might try to run without Tokenizer (Fast doesn't exist) and
with FeatureExtractor some text only pipelines.
* Oops.
* Adding a comment for `update_config_with_model_class`.
* Remove `model_architecture` to get `tiny_config`.
* Finalize rebase.
* Smarter way to handle undefined FastTokenizer.
* Remove old code.
* Addressing some nits.
* Don't instantiate `None`.
