Add automatic conversion of static heads when loaded via XModelWithHeads #181
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Add use_pooler argument classification & m.-choice heads. Allow passing of id2label to prediciton head loading.
calpt
force-pushed
the
dev/universal_head_loading
branch
from
e28be4d
to
2ef6a73
Compare
hSterz
reviewed
Jun 7, 2021
Use "num_labels" for static to flex head conversion.
hSterz
approved these changes
Jun 10, 2021
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Changes in detail:
Current limitations:
id2label/label2idmust be either present in the head config (often not the case, e.g. here) or explicitly provided toload_adapter()/load_head(). Alternatively,num_labelscan be passed to load_adapter(). Fix must be provided on the Hub side.Example notebook: https://colab.research.google.com/drive/1JYAPKlPtJwCddc-Jra9WG9Cw5RVjFkhR?usp=sharing