Instructions to use funlab/clipnet-fold_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use funlab/clipnet-fold_2 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_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8c3382f783f64eb873a7de15298696dbd053f31278a163b281b89b47058c5ef
- Size of remote file:
- 57 Bytes
- SHA256:
- 50e851da3cf4105ba29aa1e9521bfec1b5b8d829b04cceb3ddeb17f9f7a2f6db
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