Instructions to use microsoft/beit-large-patch16-224-pt22k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/beit-large-patch16-224-pt22k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="microsoft/beit-large-patch16-224-pt22k") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, BeitForMaskedImageModeling processor = AutoImageProcessor.from_pretrained("microsoft/beit-large-patch16-224-pt22k") model = BeitForMaskedImageModeling.from_pretrained("microsoft/beit-large-patch16-224-pt22k") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
209e227 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:c7e36e4e7e4b59c8713e27b17133381b2a9476dd4cec8a05392ca71c5be4abb7
size 1246607101
|