Instructions to use microsoft/beit-large-patch16-512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/beit-large-patch16-512 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="microsoft/beit-large-patch16-512") 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/beit-large-patch16-512") model = AutoModelForImageClassification.from_pretrained("microsoft/beit-large-patch16-512") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f19634737e79af60cadd09943f3c10acade7f58c5706daf46cd0ce0a854fdec7
- Size of remote file:
- 1.22 GB
- SHA256:
- b145fcda929549efe78aa2fddefcd6c29ce34f99bce6f1c886163626fc4ac65f
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