Instructions to use JohnNvula/Kilunga with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use JohnNvula/Kilunga 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("JohnNvula/Kilunga") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bab0afb6d0d35c73f8590cdd451bac164f31d6819ca259a62418256a331c1522
- Size of remote file:
- 328 Bytes
- SHA256:
- 165444aba3a7d5210e3dfd3778e28bed605e656d8d463843b6d1d374022d4134
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.