quic / efficient-transformers

This library empowers users to seamlessly port pretrained models and checkpoints on the HuggingFace (HF) hub (developed using HF transformers library) into inference-ready formats that run efficiently on Qualcomm Cloud AI 100 accelerators.

Date Created 2024-03-30 (7 months ago)

Commits 80 (last one 2 days ago)

Stargazers 47 (0 this week)

Watchers 9 (0 this week)

Forks 32

License other

Ranking

RepositoryStats indexes 579,238 repositories, of these quic/efficient-transformers is ranked #474,894 (18th percentile) for total stargazers, and #223,346 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #90,744/115,001.

quic/efficient-transformers is also tagged with popular topics, for these it's ranked: ai (#2,946/3805), llm (#2,031/2654), cloud (#957/1078)

Other Information

quic/efficient-transformers has 16 open pull requests on Github, 102 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 2 open issues and 4 closed issues.

Homepage URL: https://quic.github.io/efficient-transformers/

All Topics

ai llm cloud accelerator

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

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updated: 2024-11-06 @ 06:32pm, id: 779482952 / R_kgDOLnX3SA