Instructions to use camstack/camstack-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use camstack/camstack-models with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("camstack/camstack-models") - Notebooks
- Google Colab
- Kaggle
Add rfdetr-package (RF-DETR medium, Apache-2.0): onnx + openvino + source pth
Browse files- packageDetection/rfdetr-package/README.md +2 -0
- packageDetection/rfdetr-package/camstack-rfdetr-package.pth +3 -0
- packageDetection/rfdetr-package/config.json +7 -0
- packageDetection/rfdetr-package/onnx/camstack-rfdetr-package.onnx +3 -0
- packageDetection/rfdetr-package/openvino/camstack-rfdetr-package.bin +3 -0
- packageDetection/rfdetr-package/openvino/camstack-rfdetr-package.xml +0 -0
packageDetection/rfdetr-package/README.md
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RF-DETR (Roboflow) — Apache-2.0. Custom-configured for package detection (num_classes=2, res 576).
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Deployable: onnx + openvino. Source checkpoint: .pth.
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packageDetection/rfdetr-package/camstack-rfdetr-package.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:eb31141de9fafee2ca17a5b98e3a91020e4f1494d7e68260a1b639c63f900e85
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size 134960582
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packageDetection/rfdetr-package/config.json
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{
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"model_type": "rf-detr-medium",
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"num_classes": 2,
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"resolution": 576,
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"task": "object-detection",
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"framework": "pytorch"
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}
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packageDetection/rfdetr-package/onnx/camstack-rfdetr-package.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:5af96c6b5936f179e317c9e3915b7c7f74ea3625355f97f6a071c3cd5af2475c
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size 120607816
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packageDetection/rfdetr-package/openvino/camstack-rfdetr-package.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:e2cb5bbccb7809d5c7e691a957bc5e008084119bdf29e2c95d6b6b0791e3061a
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size 60121102
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packageDetection/rfdetr-package/openvino/camstack-rfdetr-package.xml
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