Instructions to use ChantaroNtw/efficientnet-b3-skin-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use ChantaroNtw/efficientnet-b3-skin-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://ChantaroNtw/efficientnet-b3-skin-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b119fd733a45b974b3f238b25e2f020979c6b3d44c31f0a3f38a63999eaf0cc
- Size of remote file:
- 135 MB
- SHA256:
- e03e6a028717a5279d15bab24a2291bea7afeb0c0a4d5fa340c54f514a76f2a1
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