Instructions to use ashraq/movielens_user_model_cos_32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use ashraq/movielens_user_model_cos_32 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://ashraq/movielens_user_model_cos_32") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 508eaa7e1122979a4ab73d6c9865f0a27ccfc52c43542fef77f4620ef645e71c
- Size of remote file:
- 30.1 kB
- SHA256:
- 50505933b095352d244183b29dbcbd4873fe29d081a8edd34b0549219f89c820
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