Instructions to use edelfrade/BiRefNet_lite-webgpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use edelfrade/BiRefNet_lite-webgpu with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('image-segmentation', 'edelfrade/BiRefNet_lite-webgpu');
Download onnx/model_fp16.onnx from edelfrade/BiRefNet_lite-webgpu: direct link, hf CLI and curl.
- Browser
- Download file 115 MB
-
https://huggingface.co/edelfrade/BiRefNet_lite-webgpu/resolve/main/onnx/model_fp16.onnx
- Command line
-
hf download hf://edelfrade/BiRefNet_lite-webgpu/onnx/model_fp16.onnx
-
curl -L -o model_fp16.onnx https://huggingface.co/edelfrade/BiRefNet_lite-webgpu/resolve/main/onnx/model_fp16.onnx
115 MB
- Xet hash:
- 04b1dda304349e3fea2dc8bce84531395a460d27c0838fcd5d1bc6489d9be563
- Size of remote file:
- 115 MB
- SHA256:
- fb9bdae2f16fefd542929fe6efa52a0f8333bab5d92f35fdfcfb57ad0bc95e0d
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