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
Add small permissive bird-classifier (aiy/birds_V1, Apache-2.0, 965 cls) — onnx/openvino/coreml
7cb9ddc verified - Xet hash:
- fde7b200048926f355f83e471b760d7bb3ac9d56fb21b9e56a84e2c8e2d360b5
- Size of remote file:
- 13.9 MB
- SHA256:
- 64dd1b966628145219f2424b42b18b76b8dc33a0a9d9ce90b8c057397fa76da2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.