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:
- a0b59c40f3af83350fb729f9c102166ce98aa36c97e4428c4c8bdd9c2ed15bc5
- Size of remote file:
- 53.6 MB
- SHA256:
- 5f0a9e855ac01f8c8ed88ad859afea7f88438e8ddc15b0731788885fd02e9a1a
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