Instructions to use microsoft/swin-tiny-patch4-window7-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/swin-tiny-patch4-window7-224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="microsoft/swin-tiny-patch4-window7-224") 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("microsoft/swin-tiny-patch4-window7-224") model = AutoModelForImageClassification.from_pretrained("microsoft/swin-tiny-patch4-window7-224") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
83d40fb
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Parent(s): 896e18f
Add TF model
Browse files- tf_model.h5 +3 -0
tf_model.h5
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oid sha256:613ffde402c38d5626003db04e3578c64a32ddee8c1272333524315faaa4c2c7
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size 113477552
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