Instructions to use Radubotchway/dermaid-skin-condition-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Radubotchway/dermaid-skin-condition-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://Radubotchway/dermaid-skin-condition-classifier") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 8b568598bc8d8ab30a06890065f7a1e8f31461a3bf9b317113a82d71a1175c5b
- Size of remote file:
- 101 kB
- SHA256:
- 22d26dcd21ebbba925a10556df2d83ff5d0a57e551f2e98b2656446dd113fd2d
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