[docs] components_to_quantize #12287
Merged
Conversation
This file contains hidden or 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
|
The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update. |
sayakpaul
approved these changes
Sep 5, 2025
sayakpaul
merged commit 1d8ad5d
into
huggingface:allow-non-list-component
1 check passed
yiyixuxu
pushed a commit
that referenced
this pull request
Sep 10, 2025
…mponents (#12234) * allow non list components_to_quantize. * up * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Steven Liu <[email protected]> * [docs] components_to_quantize (#12287) init Co-authored-by: Sayak Paul <[email protected]> --------- Co-authored-by: Steven Liu <[email protected]>
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
3 participants
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Outdated suggestions cannot be applied.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.
Companion docs to #12234 to update examples with single model on pipeline-level quantization