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Download README.md from sentiantai/sharp-onnx-webgpu-weights: direct link, hf CLI and curl.
- Browser
- Download file 1.27 kB
-
https://huggingface.co/sentiantai/sharp-onnx-webgpu-weights/resolve/main/README.md
- Command line
-
hf download hf://sentiantai/sharp-onnx-webgpu-weights/README.md
-
curl -L -o README.md https://huggingface.co/sentiantai/sharp-onnx-webgpu-weights/resolve/main/README.md
1.27 kB
metadata
license: other
license_name: apple-ml-research-model
license_link: https://github.com/apple/ml-sharp/blob/main/LICENSE_MODEL
tags:
- onnx
- sharp
- gaussian-splatting
- research
SHARP ONNX weights (browser)
ONNX exports of Apple SHARP for the Sharp-Onnx-webgpu browser demo.
Research use only. Apple Machine Learning Research Model is licensed under the Apple Machine Learning Research Model License Agreement.
Files
| File | Size (approx.) |
|---|---|
sharp_web_predictor.onnx |
7 MB |
sharp_web_predictor.onnx.data |
2.5 GB |
sharp_web_predictor_fp16.onnx |
7 MB |
sharp_web_predictor_fp16.onnx.data |
1.2 GB |
Each .onnx file requires its matching .onnx.data sidecar in the same folder/URL path.
Usage in the web app
Set these environment variables (Vercel → Settings → Environment Variables):
VITE_MODEL_URL_FP32=https://huggingface.co/sentiantai/sharp-onnx-webgpu-weights/resolve/main/sharp_web_predictor.onnx
VITE_MODEL_URL_FP16=https://huggingface.co/sentiantai/sharp-onnx-webgpu-weights/resolve/main/sharp_web_predictor_fp16.onnx