Instructions to use mansee/swin-tiny-patch4-window7-224-img_orientation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mansee/swin-tiny-patch4-window7-224-img_orientation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="mansee/swin-tiny-patch4-window7-224-img_orientation") 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("mansee/swin-tiny-patch4-window7-224-img_orientation") model = AutoModelForImageClassification.from_pretrained("mansee/swin-tiny-patch4-window7-224-img_orientation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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size 110348984
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