feat: add public notebook for evaluating translation quality of models using COMET and MetricX. #1451
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
…aluating translation quality of models using COMET and MetricX.
|
Check out this pull request on See visual diffs & provide feedback on Jupyter Notebooks. Powered by ReviewNB |
caleboau2012
changed the title
holtskinner
approved these changes
Nov 21, 2024
inardini
pushed a commit
to inardini/generative-ai
that referenced
this pull request
Dec 7, 2024
…s using COMET and MetricX. (GoogleCloudPlatform#1451) # Description feat: add public notebook showing how to use the Vertex AI SDK for evaluating translation quality of models using COMET and MetricX. --------- Co-authored-by: Holt Skinner <holtskinner@google.com>
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Outdated suggestions cannot be applied.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.
Description
feat: add public notebook showing how to use the Vertex AI SDK for evaluating translation quality of models using COMET and MetricX.