Instructions to use mindwrapped/collaborative-filtering-movielens-copy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use mindwrapped/collaborative-filtering-movielens-copy with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://mindwrapped/collaborative-filtering-movielens-copy") - Notebooks
- Google Colab
- Kaggle
Commit ·
653263b
1
Parent(s): df92759
Upload keras_metadata.pb with git-lfs
Browse files- keras_metadata.pb +3 -0
keras_metadata.pb
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version https://git-lfs.github.com/spec/v1
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oid sha256:02876faecfbdb57d02d75adc443eb73dce800bf8aa0d4f787a2a9e1825150cca
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size 4921
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