* [ci] Also run test_examples in py37
(will revert at the end of the experiment)
* InputExample: use immutable dataclass
* [deps] Install dataclasses for Py<3.7
* [skip ci] Revert "[ci] Also run test_examples in py37"
This reverts commit d29afd9959786b77759b0b8fa4e6b4335b952015.
The CONTRIBUTING file pins to a specific version of isort, so we might as well install that in `dev` . This makes it easier for contributors so they don't have to manually install the specific commit.
I found there are two grammar errors or typo issues in the explanation of the encoding properties.
The original sentences:
If your was made of multiple \"parts\" such as (question, context), then this would be a vector with for each token the segment it belongs to
If your has been truncated into multiple subparts because of a length limit (for BERT for example the sequence length is limited to 512), this will contain all the remaining overflowing parts.
I think "input" should be inserted after the phrase "If your".
* fix conflicts
* update bart max length test
* correct spelling mistakes
* implemented model specific encode function
* fix merge conflicts
* better naming
* save intermediate state -> need to rethink strucuture a bit
* leave tf problem as it is for now
* current version
* add layers.pop
* remove ipdb
* make style
* clean return cut decoding
* remove ipdbs
* Fix restoring layers in the decoders that doesnt exists.
* push good intermediate solution for now
* fix conflicts
* always good to refuse to merge conflicts when rebasing
* fix small bug
* improve function calls
* remove unused file
* add correct scope behavior for t5_generate
Co-authored-by: Morgan Funtowicz <funtowiczmo@gmail.com>
For the tutorial of "How to generate text", the URL link was wrong (it was linked to the tutorial of "How to train a language model").
I fixed the URL.
* added return_token_type_ids argument for tokenizers which do not generate return_type_ids by default
* fixed styling
* Style
Co-authored-by: LysandreJik <lysandre.debut@reseau.eseo.fr>