Instructions to use hardikprakash/intel-image-classification-cnn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use hardikprakash/intel-image-classification-cnn with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://hardikprakash/intel-image-classification-cnn") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b5423905d92743ca25ac9888e6aff5322736de318ff6648ca424f80f8c24d18
- Size of remote file:
- 158 MB
- SHA256:
- 6115e3387eb74020456b41ef9b5166e85da9560da30844e7b3e55a61eda9ae06
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