Instructions to use DaneshSelwal/Classification-DIAS-65Bands with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use DaneshSelwal/Classification-DIAS-65Bands with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://DaneshSelwal/Classification-DIAS-65Bands") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b824673381507d9e3db6d89ab7980d922d020449f3073ee263de6bf1139a6286
- Size of remote file:
- 12.8 MB
- SHA256:
- bd04d31e1659bc2511d90d82dc51db691c8ffe18aa1d1d057d07e5ec13541b0d
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