Instructions to use kolkela/simple-cnn-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use kolkela/simple-cnn-classifier 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://kolkela/simple-cnn-classifier") - Notebooks
- Google Colab
- Kaggle
Download model.keras from kolkela/simple-cnn-classifier: direct link, hf CLI and curl.
- Browser
- Download file 1.39 MB
-
https://huggingface.co/kolkela/simple-cnn-classifier/resolve/main/model.keras
- Command line
-
hf download hf://kolkela/simple-cnn-classifier/model.keras
-
curl -L -o model.keras https://huggingface.co/kolkela/simple-cnn-classifier/resolve/main/model.keras
1.39 MB
- Xet hash:
- 331a515a2210f826ff20decc12e7faf73d2ca2f8ffcc6b516106feacc54cba02
- Size of remote file:
- 1.39 MB
- SHA256:
- 32ba150c79f3e621370802a26e6d5fb163d04beb17449bd00b21f9b48ed2fe4d
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