Instructions to use SerdarHelli/Knee-View-Merchant-Landmark-Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use SerdarHelli/Knee-View-Merchant-Landmark-Detection 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("SerdarHelli/Knee-View-Merchant-Landmark-Detection") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from SerdarHelli/Knee-View-Merchant-Landmark-Detection: direct link, hf CLI and curl.
- Browser
- Download file 1.81 MB
-
https://huggingface.co/SerdarHelli/Knee-View-Merchant-Landmark-Detection/resolve/main/saved_model.pb
- Command line
-
hf download hf://SerdarHelli/Knee-View-Merchant-Landmark-Detection/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/SerdarHelli/Knee-View-Merchant-Landmark-Detection/resolve/main/saved_model.pb
1.81 MB
- Xet hash:
- e7b4b6c7e72949d749b08a47773246f926a0e189127957c76afd738e265997d6
- Size of remote file:
- 1.81 MB
- SHA256:
- 686bda5930580c6d0b4870c8ef0c2af63b446122c35cd9e65351b904b66a9dd0
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