Instructions to use PPCgroup/ffn_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use PPCgroup/ffn_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://PPCgroup/ffn_model") - Notebooks
- Google Colab
- Kaggle
Download ffn_model.keras from PPCgroup/ffn_model: direct link, hf CLI and curl.
- Browser
- Download file 45.8 MB
-
https://huggingface.co/PPCgroup/ffn_model/resolve/main/ffn_model.keras
- Command line
-
hf download hf://PPCgroup/ffn_model/ffn_model.keras
-
curl -L -o ffn_model.keras https://huggingface.co/PPCgroup/ffn_model/resolve/main/ffn_model.keras
45.8 MB
- Xet hash:
- 8c51368ff78ac2b40910dd21de674acd4107745c1000c5982c87606f64c402c9
- Size of remote file:
- 45.8 MB
- SHA256:
- 97e3fb231ed51f07210dccc68b58bc19eec206d6986a7340e2f64235f31715dc
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