Instructions to use sdrfsh/alexnet-door-entry-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use sdrfsh/alexnet-door-entry-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://sdrfsh/alexnet-door-entry-classifier") - Notebooks
- Google Colab
- Kaggle
Download alexnet.keras from sdrfsh/alexnet-door-entry-classifier: direct link, hf CLI and curl.
- Browser
- Download file 700 MB
-
https://huggingface.co/sdrfsh/alexnet-door-entry-classifier/resolve/main/alexnet.keras
- Command line
-
hf download hf://sdrfsh/alexnet-door-entry-classifier/alexnet.keras
-
curl -L -o alexnet.keras https://huggingface.co/sdrfsh/alexnet-door-entry-classifier/resolve/main/alexnet.keras
700 MB
- Xet hash:
- 182567529194574727be655494925fafbb4945e1ad7a01253a88ef96cf4c2c95
- Size of remote file:
- 700 MB
- SHA256:
- 49cc8fedd195dd1a874d288c849ad6fd793d711b036dc8105b190d491dc8c870
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