Instructions to use microsoft/beit-large-patch16-384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/beit-large-patch16-384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="microsoft/beit-large-patch16-384") 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-patch16-384") model = AutoModelForImageClassification.from_pretrained("microsoft/beit-large-patch16-384") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b434fb4e950a24ccba123c281f894dbd8584a390d39edb502fe1354ee045a8d7
- Size of remote file:
- 1.22 GB
- SHA256:
- 2f0612c1e638473d78795a2b5d72c8e57ec2af9c7302d1fa1bb8f0d99609f666
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