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:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://AlbertiTechnology/MgO-v1") - Notebooks
- Google Colab
- Kaggle
Download Inclusions.pt from AlbertiTechnology/MgO-v1: direct link, hf CLI and curl.
- Browser
- Download file 5.99 MB
-
https://huggingface.co/AlbertiTechnology/MgO-v1/resolve/main/Inclusions.pt
- Command line
-
hf download hf://AlbertiTechnology/MgO-v1/Inclusions.pt
-
curl -L -o Inclusions.pt https://huggingface.co/AlbertiTechnology/MgO-v1/resolve/main/Inclusions.pt
5.99 MB
- Xet hash:
- f12de850e93898c989bfab7f033e46ca5b49028b31dde263bd325b03e49b3039
- Size of remote file:
- 5.99 MB
- SHA256:
- e70c8446f4b824334cbee7a63b4c7e57315346c43eecc2a2bda82b82581fdbb0
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