Instructions to use matallanas/ignatius with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use matallanas/ignatius 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("matallanas/ignatius") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f0d2fc880b4e48484d957f3c8b980d591ca26ff25d9a12dd3ebbc12a32f46d0
- Size of remote file:
- 20.8 MB
- SHA256:
- d2c8d910af30758bc7b0bd49895fdc290985037df379c85a74c5d55ef01a12ce
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.