Instructions to use funlab/clipnet-fold_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use funlab/clipnet-fold_4 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_4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06212ff7157af56785fb33e62756649095a8a43bf1d932e7dd463c017a786d9a
- Size of remote file:
- 58 Bytes
- SHA256:
- 4a0e476aad49e2a9dba5f9b9df8f5dce866b866285abfe19bfcb942e2aec8ed9
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