Instructions to use funlab/clipnet-fold_6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use funlab/clipnet-fold_6 with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://funlab/clipnet-fold_6") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from funlab/clipnet-fold_6: direct link, hf CLI and curl.
- Browser
- Download file 1.37 MB
-
https://huggingface.co/funlab/clipnet-fold_6/resolve/refs%2Fpr%2F1/saved_model.pb
- Command line
-
hf download hf://funlab/clipnet-fold_6@refs/pr/1/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/funlab/clipnet-fold_6/resolve/refs%2Fpr%2F1/saved_model.pb
1.37 MB
- Xet hash:
- ba6b30143415adcc8a2786feeeb83bf8f2685bf61a8c72f5518b8de8d1d4fdb8
- Size of remote file:
- 1.37 MB
- SHA256:
- e1e17ec5532c0036b36a7e73c9da160f11c1eebd8b966fd6bee74bc12bff64da
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