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.
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| Metric | efficient-transformers | ram-coffers | g4f-working | ollama-webui-traefik-docker |
|---|---|---|---|---|
| Stars | 86 | 86 | 86 | 86 |
| Forks | 77 | 22 | 12 | 40 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | C | Python | Shell |
| Sources | 1 | 1 | 1 | 1 |
| License | NOASSERTION | Apache-2.0 | NOASSERTION | MIT |
Capability Radar vs ram-coffers
Last code push 0 days ago.
Fork-to-star ratio: 89.5%. Active community forking and contributing.
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