Instructions to use Maddy2259/Pneumonia_Detection_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Maddy2259/Pneumonia_Detection_Model 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://Maddy2259/Pneumonia_Detection_Model") - Notebooks
- Google Colab
- Kaggle
Download CNN_base_model.keras from Maddy2259/Pneumonia_Detection_Model: direct link, hf CLI and curl.
- Browser
- Download file 3.02 GB
-
https://huggingface.co/Maddy2259/Pneumonia_Detection_Model/resolve/main/CNN_base_model.keras
- Command line
-
hf download hf://Maddy2259/Pneumonia_Detection_Model/CNN_base_model.keras
-
curl -L -o CNN_base_model.keras https://huggingface.co/Maddy2259/Pneumonia_Detection_Model/resolve/main/CNN_base_model.keras
3.02 GB
- Xet hash:
- 71b715ec88c0fe50d2b18437cde1d137e2dd98caec5e450cb447ecc552c34af9
- Size of remote file:
- 3.02 GB
- SHA256:
- 769a095e1a01b0a2fedbdace0cc54d0f0c32e35c2d2625bccb3c128158602b10
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