Instructions to use kolkela/simple-cnn-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use kolkela/simple-cnn-classifier with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://kolkela/simple-cnn-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 331a515a2210f826ff20decc12e7faf73d2ca2f8ffcc6b516106feacc54cba02
- Size of remote file:
- 1.39 MB
- SHA256:
- 32ba150c79f3e621370802a26e6d5fb163d04beb17449bd00b21f9b48ed2fe4d
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