Instructions to use Language/DemoRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use Language/DemoRepo 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("Language/DemoRepo") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd8f281f1cb5ce44b9ab84e113b4d723d40a04e5de88a1ff967c489793e7812f
- Size of remote file:
- 1.43 MB
- SHA256:
- 5f3c8c32dad3dec377098cd2a83875af88ecb781adf80a40fd83c34285a375ba
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.