Instructions to use naddy24/birefnet-512-webgpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- BiRefNet
How to use naddy24/birefnet-512-webgpu with BiRefNet:
# Option 1: use with transformers from transformers import AutoModelForImageSegmentation birefnet = AutoModelForImageSegmentation.from_pretrained("naddy24/birefnet-512-webgpu", trust_remote_code=True)# Option 2: use with BiRefNet # Install from https://github.com/ZhengPeng7/BiRefNet from models.birefnet import BiRefNet model = BiRefNet.from_pretrained("naddy24/birefnet-512-webgpu") - Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from naddy24/birefnet-512-webgpu: direct link, hf CLI and curl.
- Browser
- Download file 389 Bytes
-
https://huggingface.co/naddy24/birefnet-512-webgpu/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://naddy24/birefnet-512-webgpu/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/naddy24/birefnet-512-webgpu/resolve/main/preprocessor_config.json
389 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": 512, | |
| "width": 512 | |
| } | |
| } |