Image Segmentation
BiRefNet
Safetensors
Transformers
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 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- BiRefNet
How to use ZhengPeng7/BiRefNet with BiRefNet:
# Option 1: use with transformers from transformers import AutoModelForImageSegmentation birefnet = AutoModelForImageSegmentation.from_pretrained("ZhengPeng7/BiRefNet", 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") - Transformers
How to use ZhengPeng7/BiRefNet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="ZhengPeng7/BiRefNet", trust_remote_code=True)# Load model directly from transformers import AutoModelForImageSegmentation model = AutoModelForImageSegmentation.from_pretrained("ZhengPeng7/BiRefNet", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
1c4ea53
1
Parent(s): fc65c0f
For users to load in one key.
Browse files- config.json +3 -1
config.json
CHANGED
|
@@ -16,5 +16,7 @@
|
|
| 16 |
"type": "image"
|
| 17 |
}
|
| 18 |
},
|
| 19 |
-
"bb_pretrained": false
|
|
|
|
|
|
|
| 20 |
}
|
|
|
|
| 16 |
"type": "image"
|
| 17 |
}
|
| 18 |
},
|
| 19 |
+
"bb_pretrained": false,
|
| 20 |
+
"model_type": "SegformerForSemanticSegmentation",
|
| 21 |
+
"torch_dtype": "float32",
|
| 22 |
}
|