Instructions to use basant18/Smoking-detection-MobileNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use basant18/Smoking-detection-MobileNet 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://basant18/Smoking-detection-MobileNet") - Notebooks
- Google Colab
- Kaggle
Download final_model.keras from basant18/Smoking-detection-MobileNet: direct link, hf CLI and curl.
- Browser
- Download file 14 MB
-
https://huggingface.co/basant18/Smoking-detection-MobileNet/resolve/main/final_model.keras
- Command line
-
hf download hf://basant18/Smoking-detection-MobileNet/final_model.keras
-
curl -L -o final_model.keras https://huggingface.co/basant18/Smoking-detection-MobileNet/resolve/main/final_model.keras
14 MB
- Xet hash:
- 9aad5e55a22e543dd14bd822c86a92d6150546d65ba98646d463ceb136f7a160
- Size of remote file:
- 14 MB
- SHA256:
- 7a313a17b1d4e5d0bef04e16f87c2a874a9c548c77fd063d38eb5c39c72ef33b
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