Image Classification
Keras
tensorflow
computer-vision
medical
dermatology
skin-disease
efficientnet
healthcare
Instructions to use Siraja704/DermaAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Siraja704/DermaAI with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Siraja704/DermaAI") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 05b5fe7904d6c43036d8a5a2b12dd162e16464af5c33bacd017a673c514c44cf
- Size of remote file:
- 287 MB
- SHA256:
- 2c2431cc767814a721e5b4d667b49200c3af7e619a3ecd4d35d6e6b0fbed77d9
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