Instructions to use microsoft/beit-base-patch16-384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/beit-base-patch16-384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="microsoft/beit-base-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-base-patch16-384") model = AutoModelForImageClassification.from_pretrained("microsoft/beit-base-patch16-384") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8706cb9ccf50d212a5a1cd9bd399923f11cc693dc58f138b6eda64dcb9d069e0
- Size of remote file:
- 379 MB
- SHA256:
- 9a7f12cc00386a3ed91ce0b37a11ecc953045ecd480cd7a16e469b40a365861c
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