jina-ai / finetuner

:dart: Task-oriented embedding tuning for BERT, CLIP, etc.

Date Created 2021-08-11 (3 years ago)

Commits 686 (last one about a year ago)

Stargazers 1,473 (-1 this week)

Watchers 27 (0 this week)

Forks 66

License apache-2.0

This repository has been archived on Github

Ranking

RepositoryStats indexes 584,353 repositories, of these jina-ai/finetuner is ranked #35,309 (94th percentile) for total stargazers, and #81,376 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #5,417/116,326.

jina-ai/finetuner is also tagged with popular topics, for these it's ranked: bert (#68/558), transfer-learning (#25/310), pretrained-models (#47/206), few-shot-learning (#10/177)

Other Information

jina-ai/finetuner has 2 open pull requests on Github, 460 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 6 open issues and 246 closed issues.

There have been 37 releases, the latest one was published on 2023-07-26 (about a year ago) with the name v0.8.1.

Homepage URL: https://finetuner.jina.ai

All Topics

bert jina finetuning fine-tuning openai-clip triplet-loss neural-search metric-learning siamese-network few-shot-learning negative-sampling pretrained-models transfer-learning similarity-learning

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318 commits on the default branch (main) since jan '22

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updated: 2024-11-21 @ 04:29am, id: 394994747 / R_kgDOF4skOw