add notebook for chichewa benchmaking without fine-tuning MMS and Whi… #3
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Outdated suggestions cannot be applied.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.
Review the included notebook located in the "notebook" directory. This latest notebook concentrates on benchmarking CHICHEWE models, featuring Wave2vec (by MMS/Meta) and Whisper (by OpenAI), along with a tokenizer that has been trained on Chichewe as well as closely associated languages like Swahili and Shona. It should be noted that the models under review haven't undergone fine-tuning.