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 model_v1_final.pt from Bl4nc/ppc_model: direct link, hf CLI and curl.
- Browser
- Download file 132 MB
-
https://huggingface.co/Bl4nc/ppc_model/resolve/main/model_v1_final.pt
- Command line
-
hf download hf://Bl4nc/ppc_model/model_v1_final.pt
-
curl -L -o model_v1_final.pt https://huggingface.co/Bl4nc/ppc_model/resolve/main/model_v1_final.pt
132 MB
- Xet hash:
- c7313df728d69750be74db327bc7c1f2f5be8348c119f6191d61476310a1b9bd
- Size of remote file:
- 132 MB
- SHA256:
- ea5f16fd8a5f6734ebdbace186eaf896f2c0a7f8c3cad0b25c11bbcbb1fd8401
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