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
Commit ·
2937578
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Parent(s): 7666b3e
add model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:f2eb72d602d731263f828a4e19ca649828727ad7ee347c167cda84975ebbb83b
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size 346985079
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