Instructions to use lenawilli/SOE_Python_App with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use lenawilli/SOE_Python_App with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://lenawilli/SOE_Python_App") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
4115a7a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:1d08c6ecc96d18ac1f75494bcae2ef6fba657bd3ee02175dc7c05176ba1cc143
size 4121755
|