Instructions to use wonfy/BiRefNet-ONNX-webgpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use wonfy/BiRefNet-ONNX-webgpu with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('image-segmentation', 'wonfy/BiRefNet-ONNX-webgpu');
Download preprocessor_config.json from wonfy/BiRefNet-ONNX-webgpu: direct link, hf CLI and curl.
- Browser
- Download file 350 Bytes
-
https://huggingface.co/wonfy/BiRefNet-ONNX-webgpu/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://wonfy/BiRefNet-ONNX-webgpu/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/wonfy/BiRefNet-ONNX-webgpu/resolve/main/preprocessor_config.json
350 Bytes
| { | |
| "do_normalize": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "feature_extractor_type": "ViTFeatureExtractor", | |
| "image_mean": [0.485, 0.456, 0.406], | |
| "image_processor_type": "ViTFeatureExtractor", | |
| "image_std": [0.229, 0.224, 0.225], | |
| "resample": 2, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { "height": 1024, "width": 1024 } | |
| } | |