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:
- 262fb6cc649361db664a56d7fb5a7f375c8bebfcea0d251bc1750664ed5ed79c
- Size of remote file:
- 55 Bytes
- SHA256:
- 18584252d2af8e990b0f5d99eaf2f294c755e74c7730e10d36f2434298a22595
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.