Instructions to use adithya12/monkeypox-model-lin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use adithya12/monkeypox-model-lin with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://adithya12/monkeypox-model-lin") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c9e0eee4c82347a9eaf1c3cf41b381eb2c07d2645569fde0e2763b268d2a0b44
- Size of remote file:
- 8.96 MB
- SHA256:
- cc2e9207dfc3776c48cd73ae6c5e489ece90e48e9fe127b5b4e990e4978f730b
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