How to use shkelqim2026/EfficientNet 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://shkelqim2026/EfficientNet")
https://huggingface.co/shkelqim2026/EfficientNet/resolve/main/Output/appendix_tableA3_param_counts.xlsx
hf download hf://shkelqim2026/EfficientNet/Output/appendix_tableA3_param_counts.xlsx
curl -L -o appendix_tableA3_param_counts.xlsx https://huggingface.co/shkelqim2026/EfficientNet/resolve/main/Output/appendix_tableA3_param_counts.xlsx
