Instructions to use Kupredom/Block_Image_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Kupredom/Block_Image_Classification with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Kupredom/Block_Image_Classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40f90208a4eb7dc2e60fa3f91b8deac832ad2a43fe6c0d93923a62419bc5696d
- Size of remote file:
- 251 MB
- SHA256:
- c4db26ce9bd748b77178d57bdc74acbd4e39e4e14f5a7e54a13caf0ba5953619
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