Instructions to use funlab/clipnet-fold_7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use funlab/clipnet-fold_7 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_7") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08d53abad29940a637d24a4e82ffe7659852fb4224c118c6dd3331462649bc83
- Size of remote file:
- 1.37 MB
- SHA256:
- 2a7f1f7851ca41ec30b80309be4a37e0ca6838a57ca2130cccd6b33335ec359f
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