Instructions to use bytedance-research/LVFace with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LVFace
How to use bytedance-research/LVFace with LVFace:
from huggingface_hub import hf_hub_download from inference_onnx import LVFaceONNXInferencer model_path = hf_hub_download("bytedance-research/LVFace", "LVFace-L_Glint360K/LVFace-L_Glint360K.onnx") inferencer = LVFaceONNXInferencer(model_path, use_gpu=True) img_path = 'path/to/image1.jpg' embedding = inferencer.infer_from_image(img_path) - Notebooks
- Google Colab
- Kaggle
Download docs/MFR.png from bytedance-research/LVFace: direct link, hf CLI and curl.
- Browser
- Download file 590 kB
-
https://huggingface.co/bytedance-research/LVFace/resolve/main/docs/MFR.png
- Command line
-
hf download hf://bytedance-research/LVFace/docs/MFR.png
-
curl -L -o MFR.png https://huggingface.co/bytedance-research/LVFace/resolve/main/docs/MFR.png
590 kB

- Xet hash:
- 8ec8620b121c6c4d6d4ff85a8a15e07051c017f0f2b7b225c214d527ba603062
- Size of remote file:
- 590 kB
- SHA256:
- 3333dd53e66eba9a775c3772d6012860dc41db3e1f931ef94dd98646f698cfb4
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