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:
- f12de850e93898c989bfab7f033e46ca5b49028b31dde263bd325b03e49b3039
- Size of remote file:
- 5.99 MB
- SHA256:
- e70c8446f4b824334cbee7a63b4c7e57315346c43eecc2a2bda82b82581fdbb0
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