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:
- ebe5882764317e29dc55fba5e74eb25e3241447ad55949b918358dbd8b5eee4b
- Size of remote file:
- 214 kB
- SHA256:
- 30be89948bfd4bccc1eefb511f504bab691861285ad2bf97d4003f760de791f2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.