Instructions to use keras-io/collaborative-filtering-movielens with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use keras-io/collaborative-filtering-movielens with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("keras-io/collaborative-filtering-movielens") - Notebooks
- Google Colab
- Kaggle
Download model.png from keras-io/collaborative-filtering-movielens: direct link, hf CLI and curl.
- Browser
- Download file 1.67 kB
-
https://huggingface.co/keras-io/collaborative-filtering-movielens/resolve/7b163fce3cf062c790c7cab061ca72ab951ec2da/model.png
- Command line
-
hf download hf://keras-io/collaborative-filtering-movielens@7b163fce3cf062c790c7cab061ca72ab951ec2da/model.png
-
curl -L -o model.png https://huggingface.co/keras-io/collaborative-filtering-movielens/resolve/7b163fce3cf062c790c7cab061ca72ab951ec2da/model.png
1.67 kB

- Xet hash:
- 6ab37b58b0f7068bac304f6db0e4f347c50e0eb4653ce654bcdce160746a6b13
- Size of remote file:
- 1.67 kB
- SHA256:
- 2a5c0aa3e0283bef3df8a6f928423a4486acfd12a2cd9764c519e45247dff5a2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.