Instructions to use Daniel00611/InceptionV3_72 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Daniel00611/InceptionV3_72 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Daniel00611/InceptionV3_72") - Notebooks
- Google Colab
- Kaggle
Create config.json
Browse files- config.json +9 -0
config.json
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{
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"architecture": "InceptionV3_72.keras",
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"input_size": [
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3,
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299,
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299
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],
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"num_classes": 72
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}
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