* pass langs parameter to certain XLM models
Adding an argument that specifies the language the SQuAD dataset is in so language-sensitive XLMs (e.g. `xlm-mlm-tlm-xnli15-1024`) don't default to language `0`.
Allows resolution of issue #1799 .
* fixing from `make style`
* fixing style (again)
* add "info" command to CLI
As a convenience, add the info directive to CLI. Running `python transformers-cli info` will return a string containing the transformers version, platform, python version, PT/TF version and GPU support
* Swap f-strings for .format
Still supporting 3.5 so can't use f-strings (sad face)
* Add reference in issue to CLI
* Add the expected fields to issue template
This way, people can still add the information manually if they want. (Though I fear they'll just ignore it.)
* Remove heading from output
* black-ify
* order of imports
Should ensure isort test passes
* use is_X_available over import..pass
* style
* fix copy-paste bug
* Rename command info -> env
Also adds the command to CONTRIBUTING.md in "Did you find a bug" section
The FlauBERT configuration file inherits from XLMConfig, and is recognized as such when loading from AutoModels as the XLMConfig is checked before the FlaubertConfig.
Changing the order solves this problem, but a test should be added.
* fill_mask helper
* [poc] FillMaskPipeline
* Revert "[poc] FillMaskPipeline"
This reverts commit 67eeea55b0.
* Revert "fill_mask helper"
This reverts commit cacc17b884.
* README: clarify that Pipelines can also do text-classification
cf. question at the AI&ML meetup last week, @mfuntowicz
* Fix test: test feature-extraction pipeline
* Test tweaks
* Slight refactor of existing pipeline (in preparation of new FillMaskPipeline)
* Extraneous doc
* More robust way of doing this
@mfuntowicz as we don't rely on the model name anymore (see AutoConfig)
* Also add RobertaConfig as a quickfix for wrong token_type_ids
* cs
* [BIG] FillMaskPipeline
