This repository has been archived by the owner on Sep 18, 2024. It is now read-only.
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Outdated suggestions cannot be applied.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.
Release Note Finetuner 0.8.1
This release covers Finetuner version 0.8.1, including dependency finetuner-core 0.13.10.
This release contains 1 new feature, 1 refactoring and 1 documentation improvement.
🆕 Features
Add Jina Tiny Embedding model
We have included
jina-embedding-t-en-v1
in our list of supported models. This very small embedding model, comprising 14 million parameters, offers lightning-fast inference on CPUs.In our experiments, it was able to encode 1730 sentences per second on a Macbook Pro Core-i5, making it perfectly suitable for edge devices. To utilize the Tiny model, follow these steps:
⚙ Refactoring
Remove
typing-extensions
from Finetuner dependenciesWe have eliminated the dependency on
typing-extensions
due to compatibility issues when using the Finetuner on Google Colab.📗 Documentation Improvements
Add Tiny model and technical report to Finetuner Readme and Docs. (#763)
We have updated the documentation page to include information about
jina-embedding-t-en-v1
. We have also added technical reports and citation details to the README and documentation page.🤟 Contributors
We would like to thank all contributors to this release: