Instructions to use AiresPucrs/model-api with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use AiresPucrs/model-api with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://AiresPucrs/model-api") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1db02f0f680e9266e3101024899fb1fd4e43e254b284a8b33f8cafa2f327772c
- Size of remote file:
- 1.07 MB
- SHA256:
- 46eb395936b4d05b587bf07dcee18e36ef83fe524944966604be9f2a0dc4a344
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