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 (2 months ago)

Commits 30 (last one 2 days ago)

Stargazers 26 (0 this week)

Watchers 8 (0 this week)

Forks 17

License other

Ranking

RepositoryStats indexes 533,807 repositories, of these quic/efficient-transformers is ranked #526,586 (1st percentile) for total stargazers, and #235,970 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #101,686/103,260.

quic/efficient-transformers is also tagged with popular topics, for these it's ranked: ai (#3,034/3125), llm (#1,965/2031), cloud (#994/1002)

Other Information

quic/efficient-transformers has 7 open pull requests on Github, 30 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there is 1 open issue and 1 closed issue.

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

All Topics

ai llm cloud accelerator

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

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The primary language is Python but there's also others...

updated: 2024-06-26 @ 09:01pm, id: 779482952 / R_kgDOLnX3SA