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 LinearModel.pth from Bl4nc/ppc_model: direct link, hf CLI and curl.
- Browser
- Download file 20.1 kB
-
https://huggingface.co/Bl4nc/ppc_model/resolve/main/LinearModel.pth
- Command line
-
hf download hf://Bl4nc/ppc_model/LinearModel.pth
-
curl -L -o LinearModel.pth https://huggingface.co/Bl4nc/ppc_model/resolve/main/LinearModel.pth
20.1 kB
- Xet hash:
- e435e7756729271b1fe8c5ea8f783281468991617c2cb17d51030927ca18b530
- Size of remote file:
- 20.1 kB
- SHA256:
- 6e4737e7245d3d5438985c5abf932b385580cc0c203dc67573ab35bd073bd640
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