Instructions to use funlab/clipnet-fold_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use funlab/clipnet-fold_1 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_1") - Notebooks
- Google Colab
- Kaggle
Push Keras model using huggingface_hub.
Browse files- fingerprint.pb +1 -1
- saved_model.pb +2 -2
fingerprint.pb
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saved_model.pb
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oid sha256:509475a43849c60cbba0b0be50e25f4ceac20d8cd1e4b7d2c491692e95f7cda6
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size 1367150
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