Instructions to use google/vit-large-patch16-224-in21k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/vit-large-patch16-224-in21k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="google/vit-large-patch16-224-in21k")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("google/vit-large-patch16-224-in21k") model = AutoModel.from_pretrained("google/vit-large-patch16-224-in21k") - Notebooks
- Google Colab
- Kaggle
Update model
Browse files- config.json +0 -0
- pytorch_model.bin +2 -2
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