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
camstack-models / vehicleClassification /efficientnet /openvino /camstack-vehicle-type-efficientnet.bin
- Xet hash:
- c1053846fb520e4306c08a6782b785e87aca02925cbed171a7efa0115494cf6a
- Size of remote file:
- 67.1 MB
- SHA256:
- 879a88aff662984800c84efc0766feac4917f017ea065290c1dc34c898081481
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