Instructions to use third-party-dev/yolo5su with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use third-party-dev/yolo5su with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("third-party-dev/yolo5su") - Notebooks
- Google Colab
- Kaggle
Download yolov5su.torchscript from third-party-dev/yolo5su: direct link, hf CLI and curl.
- Browser
- Download file 37 MB
-
https://huggingface.co/third-party-dev/yolo5su/resolve/main/yolov5su.torchscript
- Command line
-
hf download hf://third-party-dev/yolo5su/yolov5su.torchscript
-
curl -L -o yolov5su.torchscript https://huggingface.co/third-party-dev/yolo5su/resolve/main/yolov5su.torchscript
37 MB
- Xet hash:
- 0268d35605eb318f3c2a411dd1698aea6890ebb7a297e6ab951b02c63d94d154
- Size of remote file:
- 37 MB
- SHA256:
- a4a653f2331ad53c9a1c47e704a2fb56f560ec2b34318f1878e299dadd4065b1
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