Image Segmentation
BiRefNet
Safetensors
background-removal
mask-generation
Dichotomous Image Segmentation
Camouflaged Object Detection
Salient Object Detection
pytorch_model_hub_mixin
model_hub_mixin
custom_code
Instructions to use ZhengPeng7/BiRefNet_HR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- BiRefNet
How to use ZhengPeng7/BiRefNet_HR with BiRefNet:
# Option 1: use with transformers from transformers import AutoModelForImageSegmentation birefnet = AutoModelForImageSegmentation.from_pretrained("ZhengPeng7/BiRefNet_HR", 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("ZhengPeng7/BiRefNet_HR") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_name_or_path": "ZhengPeng7/BiRefNet_HR", | |
| "architectures": [ | |
| "BiRefNet" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "BiRefNet_config.BiRefNetConfig", | |
| "AutoModelForImageSegmentation": "birefnet.BiRefNet" | |
| }, | |
| "custom_pipelines": { | |
| "image-segmentation": { | |
| "pt": [ | |
| "AutoModelForImageSegmentation" | |
| ], | |
| "tf": [], | |
| "type": "image" | |
| } | |
| }, | |
| "bb_pretrained": false | |
| } |