Instructions to use kaanakdag/corn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use kaanakdag/corn 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://kaanakdag/corn") - Notebooks
- Google Colab
- Kaggle
Download model.keras from kaanakdag/corn: direct link, hf CLI and curl.
- Browser
- Download file 9.7 MB
-
https://huggingface.co/kaanakdag/corn/resolve/main/model.keras
- Command line
-
hf download hf://kaanakdag/corn/model.keras
-
curl -L -o model.keras https://huggingface.co/kaanakdag/corn/resolve/main/model.keras
9.7 MB
- Xet hash:
- d93aeca51eb49706f0c25559004dc400e8808550000f882d6948921f2e169835
- Size of remote file:
- 9.7 MB
- SHA256:
- 3d172137b6153ce17f571094b29959f80e2aa1a4cab1039b31b8bcbf8a29e4d3
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