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:
- d18c806621cb8e8e131d1f1fb636f0b7ef7bc4ae38048559b0f34ef7aea05319
- Size of remote file:
- 44.5 MB
- SHA256:
- bb2683362a995e8498de2bcd3e70a253e190b4df8b63c738759140c07d343fe4
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