Instructions to use AiresPucrs/surrogate-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use AiresPucrs/surrogate-model 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/surrogate-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb6bb96b6efc9200a25c6b46e7a36b6fd41f1e5f8af070d77d884bf51ed99f0a
- Size of remote file:
- 16.5 MB
- SHA256:
- 52c152ed5f73cde3d04b8feb0a28315041af59513b3d030f9c802fbfad63a3c8
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