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:
- a3823f48e7de40b2a1a9523778506587587fb2cc6c3c7145fb1aa8f35fdcc3ce
- Size of remote file:
- 32.2 MB
- SHA256:
- c728e6e43f759b8f69a90a60ee38f5db244330ddac9168405ede305239612660
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