Instructions to use microsoft/beit-large-patch16-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/beit-large-patch16-224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="microsoft/beit-large-patch16-224") 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-patch16-224") model = AutoModelForImageClassification.from_pretrained("microsoft/beit-large-patch16-224") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a0efb7427b67aa42bab9413076120586ab8becc1d30b08e49fa53beeba5b4a03
- Size of remote file:
- 1.22 GB
- SHA256:
- 05f03253e14c57c42a40183e4deb664a3bc4b67f62d631ac8b2359fa1e7c7110
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