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
Rename model_best.keras to unet_45956.keras
Browse files- .gitattributes +1 -0
- model_best.keras → unet_45956.keras +0 -0
.gitattributes
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model_best.keras filter=lfs diff=lfs merge=lfs -text
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unet_grano_ferritico.keras filter=lfs diff=lfs merge=lfs -text
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unet_45951_v1.1.keras filter=lfs diff=lfs merge=lfs -text
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model_best.keras filter=lfs diff=lfs merge=lfs -text
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unet_grano_ferritico.keras filter=lfs diff=lfs merge=lfs -text
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unet_45951_v1.1.keras filter=lfs diff=lfs merge=lfs -text
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unet_45956.keras filter=lfs diff=lfs merge=lfs -text
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model_best.keras → unet_45956.keras
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File without changes
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