Instructions to use osanseviero/osans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use osanseviero/osans 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://osanseviero/osans") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from osanseviero/osans: direct link, hf CLI and curl.
- Browser
- Download file 34.6 kB
-
https://huggingface.co/osanseviero/osans/resolve/main/saved_model.pb
- Command line
-
hf download hf://osanseviero/osans/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/osanseviero/osans/resolve/main/saved_model.pb
34.6 kB
- Xet hash:
- e651d587a2d9144c85c69c7ca14d64d6429dfc42ee6c7c2f8280f796be5f307d
- Size of remote file:
- 34.6 kB
- SHA256:
- 236aa8d9ee5483d38c406993827d5c95b76a1978445a17c921befad5c30b8746
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