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quic-meet/efficient-transformers

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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.

active 2024-09-032024-11-11 (UTC)

Complete coverage26,587 / 26,587 hourly files (100%) · 2 absent upstream2023-08-152026-08-26 (UTC)
Events
61
Pushes
40
Pull requests
6
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 70 days from 2024-09-03 to 2024-11-11. Pushes: 40 total, peak 8 in a day. Pull requests: 6 total, peak 2 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
quic-meet453960
quic-amitraj1100

Recent activity

Latest issues, pull requests and releases

  • Pull request#3quic-meet2024-10-08 07:21
  • Pull request#3quic-meet2024-10-08 07:20
  • Pull request#2quic-meet2024-10-07 10:59
  • Pull request#2quic-meet2024-10-07 10:53
  • Pull request#1quic-meet2024-09-12 08:59
  • Pull request#1quic-meet2024-09-12 06:18

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.