Instructions to use microsoft/beit-base-patch16-224-pt22k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/beit-base-patch16-224-pt22k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="microsoft/beit-base-patch16-224-pt22k") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, BeitForMaskedImageModeling processor = AutoImageProcessor.from_pretrained("microsoft/beit-base-patch16-224-pt22k") model = BeitForMaskedImageModeling.from_pretrained("microsoft/beit-base-patch16-224-pt22k") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- afb44070cd437177e37755e4ef5383b9ca4ebfc3f055f461ef217fbf25285c59
- Size of remote file:
- 368 MB
- SHA256:
- 284cc1c178af57275ef00cbd188a1ee9026091b6eb582aa44e043a37a743a70b
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