Instructions to use fluidos/basic_ranker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use fluidos/basic_ranker with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("fluidos/basic_ranker") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d30a09b311229f756f92821a1476a75231939fa6c138b481dd680946fc00c50
- Size of remote file:
- 1.61 MB
- SHA256:
- 004109166e5881bb3fa2b989ba6ec3dcddd2558316844d3c5d18211db1240862
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