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 FFN_Model.keras from Bl4nc/ppc_model: direct link, hf CLI and curl.
- Browser
- Download file 45.9 MB
-
https://huggingface.co/Bl4nc/ppc_model/resolve/main/FFN_Model.keras
- Command line
-
hf download hf://Bl4nc/ppc_model/FFN_Model.keras
-
curl -L -o FFN_Model.keras https://huggingface.co/Bl4nc/ppc_model/resolve/main/FFN_Model.keras
45.9 MB
- Xet hash:
- 23d90ea7f8a6b89eda5af798458fd369f017529c4788b5994ca5fd46cd51a53c
- Size of remote file:
- 45.9 MB
- SHA256:
- 238ed1c91c8e3f3817250e72284cf61201a149ae6e13a9c58bc620f8e5dd0890
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