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.
PythonNOASSERTION
Stargazers
- abukhoyBangalore
- ajayjoshi879
- alex-treebeard@treebeardtech
- anujgupt-github
- caock
- carlstreeter-quic
- chillingche
- enduringstack
- fei8wen
- ghchris2021
- henry-huan
- JunyoungparkKAIST IsysE
- kangjiahui
- KathireshpraveenSchneider Electric
- kdulla
- mahabubul-alam
- mxochicaleUniversity College London
- niranjanaryanDeceptive AI
- OdedHellmanSony Semicon
- psyhtestKrai
- q1blueQuantum Blockchain Ai
- quic-aashwins
- quic-jouachen
- quic-mamta
- quic-morteza
- quic-sgunnala
- ravi-softeye
- roshankarandeUC San Diego
- saareliadNeuReality
- SantoshB-Github
- sikang99TeamGRIT, Inc.
- stevelaskaridis@brave
- ttb-gitSan Francisco
- vbaddiQualcomm CR&D
- yunchenloNational Tsing Hua University (NTHU)
- zweack@McAfee