Support max_seq_len argument in multimodal text-to-text export#209
Open
kamalkraj wants to merge 1 commit intohuggingface:mainfrom
Open
Support max_seq_len argument in multimodal text-to-text export#209kamalkraj wants to merge 1 commit intohuggingface:mainfrom
kamalkraj wants to merge 1 commit intohuggingface:mainfrom
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
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
Summary
This PR updates the load_multimodal_text_to_text_model function to support the max_seq_len argument, allowing users to explicitly define
the maximum sequence length during model export.
Changes
Motivation
This change improves flexibility by accommodating the max_seq_len parameter, which is often used in ExecuTorch configurations, while
maintaining backward compatibility with max_length.