Instructions to use microsoft/swin-large-patch4-window12-384-in22k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/swin-large-patch4-window12-384-in22k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="microsoft/swin-large-patch4-window12-384-in22k") 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-large-patch4-window12-384-in22k") model = AutoModelForImageClassification.from_pretrained("microsoft/swin-large-patch4-window12-384-in22k") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): fc01699
Add TF model
Browse files- tf_model.h5 +3 -0
tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:7c6595927220bd10715884b48424a0a40d6a301ce719d2c05f11a4c9e4dce719
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size 915655180
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