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 (9 months ago)

Commits 109 (last one 2 days ago)

Stargazers 56 (0 this week)

Watchers 9 (0 this week)

Forks 33

License other

Ranking

RepositoryStats indexes 597,394 repositories, of these quic/efficient-transformers is ranked #436,205 (27th percentile) for total stargazers, and #226,032 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #83,527/119,856.

quic/efficient-transformers is also tagged with popular topics, for these it's ranked: ai (#2,889/4102), llm (#2,089/2935), cloud (#905/1094)

Other Information

quic/efficient-transformers has 13 open pull requests on Github, 136 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 2 open issues and 6 closed issues.

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

All Topics

ai llm cloud accelerator

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

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updated: 2024-12-24 @ 11:12pm, id: 779482952 / R_kgDOLnX3SA