Instructions to use AlbertiTechnology/MgO-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use AlbertiTechnology/MgO-v1 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://AlbertiTechnology/MgO-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b864240afd2aa1db4d30a2fe83e60b4231f8db9bd9f0541b07d5f9cc357d68e
- Size of remote file:
- 6.43 MB
- SHA256:
- 93d80a614a6cd316f8b66d6add91d651fed5a8ca90cc176407d71381d43e72d4
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