Instructions to use ashraq/movielens-user-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use ashraq/movielens-user-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://ashraq/movielens-user-model") - Notebooks
- Google Colab
- Kaggle
Download model.png from ashraq/movielens-user-model: direct link, hf CLI and curl.
- Browser
- Download file 7.74 kB
-
https://huggingface.co/ashraq/movielens-user-model/resolve/main/model.png
- Command line
-
hf download hf://ashraq/movielens-user-model/model.png
-
curl -L -o model.png https://huggingface.co/ashraq/movielens-user-model/resolve/main/model.png
7.74 kB

- Xet hash:
- 4a044d3f0a69b3a3ff849d2ce7d07166501d059393b860f8cfb8c946cefc0fab
- Size of remote file:
- 7.74 kB
- SHA256:
- 10e773ae9b4e8833a23817644fb2b6259a81aa4ed3b43bbd0ea10365bcdfd368
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