How to use recommender-system/impact-p 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://recommender-system/impact-p")
https://huggingface.co/recommender-system/impact-p/resolve/main/Processing%20Data/user_bundle_histories.csv
hf download 'hf://recommender-system/impact-p/Processing Data/user_bundle_histories.csv'
curl -L -o user_bundle_histories.csv https://huggingface.co/recommender-system/impact-p/resolve/main/Processing%20Data/user_bundle_histories.csv
