Instructions to use microsoft/swin-base-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-base-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-base-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-base-patch4-window12-384-in22k") model = AutoModelForImageClassification.from_pretrained("microsoft/swin-base-patch4-window12-384-in22k") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 72a5c4a
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 sha256:7203d1774543a744ffe33df33dd604a8d6894300f4b639f53f338e1dd2f25c5e
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size 437637564
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