Instructions to use funlab/clipnet-fold_5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use funlab/clipnet-fold_5 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_5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ad613ddc37c867618b21fc829ee92853d49563714120c768602330450204813
- Size of remote file:
- 1.37 MB
- SHA256:
- 0be92708d5b3214e7c7f2a0756e45068ba1aedd498be10b5ba9af60c594341b3
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