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:
- c67599f8fbb999b780e49b9f5f3d451669d95b4f8a1e95877b852712a001e88f
- Size of remote file:
- 121 MB
- SHA256:
- 5af96c6b5936f179e317c9e3915b7c7f74ea3625355f97f6a071c3cd5af2475c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.