Instructions to use GleghornLab/lymph_node_segmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GleghornLab/lymph_node_segmentation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="GleghornLab/lymph_node_segmentation")# Load model directly from transformers import UNetForSegmentation model = UNetForSegmentation.from_pretrained("GleghornLab/lymph_node_segmentation", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- config.json +4 -2
config.json
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"architectures": [
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"UNetForSegmentation"
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],
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"dtype": "float32",
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"img_size":
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"k": 5,
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"model_arch":
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"model_type": "segmentation",
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"n_filts": 128,
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"norm": null,
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"architectures": [
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"UNetForSegmentation"
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],
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"batch_size": 8,
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"downsample_factor": 1.0,
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"dtype": "float32",
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"img_size": 128,
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"k": 5,
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"model_arch": "unet",
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"model_type": "segmentation",
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"n_filts": 128,
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"norm": null,
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