Instructions to use nhradek/cgi-embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use nhradek/cgi-embedding with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://nhradek/cgi-embedding") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 352f75f547d319c322c5bcbc7885f9c15f070dcb35356f22c49648fa22765f4f
- Size of remote file:
- 229 MB
- SHA256:
- 339308ed73319cc6a70d8245a49aeffa14ea5777b99a65950c7ac55fbe4b28d4
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