Instructions to use shansuja/sugarcane with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use shansuja/sugarcane 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://shansuja/sugarcane") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from shansuja/sugarcane: direct link, hf CLI and curl.
- Browser
- Download file 377 kB
-
https://huggingface.co/shansuja/sugarcane/resolve/main/saved_model.pb
- Command line
-
hf download hf://shansuja/sugarcane/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/shansuja/sugarcane/resolve/main/saved_model.pb
377 kB
- Xet hash:
- d47ed0b4590c08792f935f9c137c3283b3e6d248658ad47e745cff1d1d877816
- Size of remote file:
- 377 kB
- SHA256:
- cc82ef32ac7ecbe55f5df124322d047d6a28a4095e286eaea79f6d64f346a92e
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