Instructions to use Kupredom/Block_Image_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Kupredom/Block_Image_Classification 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://Kupredom/Block_Image_Classification") - Notebooks
- Google Colab
- Kaggle
Download Block Image Classification.ipynb from Kupredom/Block_Image_Classification: direct link, hf CLI and curl.
- Browser
- Download file 2.34 MB
-
https://huggingface.co/Kupredom/Block_Image_Classification/resolve/main/Block%20Image%20Classification.ipynb
- Command line
-
hf download 'hf://Kupredom/Block_Image_Classification/Block Image Classification.ipynb'
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curl -L -o 'Block Image Classification.ipynb' https://huggingface.co/Kupredom/Block_Image_Classification/resolve/main/Block%20Image%20Classification.ipynb
2.34 MB