Instructions to use keras-io/recommender-transformers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use keras-io/recommender-transformers 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/recommender-transformers") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from keras-io/recommender-transformers: direct link, hf CLI and curl.
- Browser
- Download file 631 kB
-
https://huggingface.co/keras-io/recommender-transformers/resolve/main/saved_model.pb
- Command line
-
hf download hf://keras-io/recommender-transformers/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/keras-io/recommender-transformers/resolve/main/saved_model.pb
631 kB
- Xet hash:
- 1c77f5a02dd24391f5188289e462fed19c5252b5632fc1ca4203f411c87860ce
- Size of remote file:
- 631 kB
- SHA256:
- 41df11000ae3462c1d7b9365e6d0258164ee2da3bff3ad95daf1482d4007633e
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