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 ·
f10d16f
1
Parent(s): d8c0335
For users to load in one key.
Browse files- config.json +1 -4
config.json
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},
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"custom_pipelines": {
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"image-segmentation": {
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"impl": "MyPipe.RMBGPipe",
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"pt": [
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"AutoModelForImageSegmentation"
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],
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"type": "image"
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}
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},
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"bb_pretrained": false
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"model_type": "SegformerForSemanticSegmentation",
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"torch_dtype": "float32",
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}
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},
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"custom_pipelines": {
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"image-segmentation": {
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"pt": [
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"AutoModelForImageSegmentation"
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],
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"type": "image"
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}
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},
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"bb_pretrained": false
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}
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