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:
# !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_5") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from funlab/clipnet-fold_5: direct link, hf CLI and curl.
- Browser
- Download file 1.37 MB
-
https://huggingface.co/funlab/clipnet-fold_5/resolve/refs%2Fpr%2F1/saved_model.pb
- Command line
-
hf download hf://funlab/clipnet-fold_5@refs/pr/1/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/funlab/clipnet-fold_5/resolve/refs%2Fpr%2F1/saved_model.pb
1.37 MB
- Xet hash:
- 7ad613ddc37c867618b21fc829ee92853d49563714120c768602330450204813
- Size of remote file:
- 1.37 MB
- SHA256:
- 0be92708d5b3214e7c7f2a0756e45068ba1aedd498be10b5ba9af60c594341b3
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