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 pokemon-model_transferlearning.keras from Kupredom/Block_Image_Classification: direct link, hf CLI and curl.
- Browser
- Download file 251 MB
-
https://huggingface.co/Kupredom/Block_Image_Classification/resolve/main/pokemon-model_transferlearning.keras
- Command line
-
hf download hf://Kupredom/Block_Image_Classification/pokemon-model_transferlearning.keras
-
curl -L -o pokemon-model_transferlearning.keras https://huggingface.co/Kupredom/Block_Image_Classification/resolve/main/pokemon-model_transferlearning.keras
251 MB
- Xet hash:
- 40f90208a4eb7dc2e60fa3f91b8deac832ad2a43fe6c0d93923a62419bc5696d
- Size of remote file:
- 251 MB
- SHA256:
- c4db26ce9bd748b77178d57bdc74acbd4e39e4e14f5a7e54a13caf0ba5953619
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