Instructions to use funlab/clipnet-fold_8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use funlab/clipnet-fold_8 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://funlab/clipnet-fold_8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 539da8afb5cb1899c3d62a175a787058d923223199c747a0f6a424535d364b4e
- Size of remote file:
- 1.37 MB
- SHA256:
- f334242ccfa6d1cbc898eeb369df9f9d1f66ac1d95cd45dc43d7e950b515ded9
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