Instructions to use Bl4nc/ppc_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Bl4nc/ppc_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://Bl4nc/ppc_model") - Notebooks
- Google Colab
- Kaggle
Download DropoutModel.pth from Bl4nc/ppc_model: direct link, hf CLI and curl.
- Browser
- Download file 165 kB
-
https://huggingface.co/Bl4nc/ppc_model/resolve/main/DropoutModel.pth
- Command line
-
hf download hf://Bl4nc/ppc_model/DropoutModel.pth
-
curl -L -o DropoutModel.pth https://huggingface.co/Bl4nc/ppc_model/resolve/main/DropoutModel.pth
165 kB
- Xet hash:
- 4245a9a2429aaba716cbc347626de3b344eba2e1929c377cbfcbb0ee1bf6ed32
- Size of remote file:
- 165 kB
- SHA256:
- c79d4f423b4a01f260de9aa95170c85c3d583c4902e572f71b6613aef81cf0c0
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