Instructions to use camstack/camstack-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use camstack/camstack-models 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("camstack/camstack-models") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb91b6f659d1dbf1023dbcdd14badb9cc70230c738f4ecf19c539e39dc249223
- Size of remote file:
- 135 MB
- SHA256:
- eb31141de9fafee2ca17a5b98e3a91020e4f1494d7e68260a1b639c63f900e85
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.