Instructions to use Nekshay/SWIN_Angle_Detection_Car with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nekshay/SWIN_Angle_Detection_Car with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Nekshay/SWIN_Angle_Detection_Car") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Nekshay/SWIN_Angle_Detection_Car") model = AutoModelForImageClassification.from_pretrained("Nekshay/SWIN_Angle_Detection_Car") - Notebooks
- Google Colab
- Kaggle
Adding ONNX file of this model
#1
by Nekshay - opened
- model.onnx +3 -0
model.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:a3f478165770a1b1e752d7e0a9b3779741ff1ab4338e8a5a9aa7ec7b010bf697
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size 353792934
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