Instructions to use u2003158/saved_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use u2003158/saved_model 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://u2003158/saved_model") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from u2003158/saved_model: direct link, hf CLI and curl.
- Browser
- Download file 3.27 MB
-
https://huggingface.co/u2003158/saved_model/resolve/refs%2Fpr%2F1/saved_model.pb
- Command line
-
hf download hf://u2003158/saved_model@refs/pr/1/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/u2003158/saved_model/resolve/refs%2Fpr%2F1/saved_model.pb
3.27 MB
- Xet hash:
- df730c89e492b851e9214e9dfc62117e822a5cd60910460eb737894be71fbe76
- Size of remote file:
- 3.27 MB
- SHA256:
- ac293c5a2ad08c4756b934554887d41e2985744fd1f46145a7b96476dbe54c48
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