Instructions to use google/vit-large-patch32-224-in21k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/vit-large-patch32-224-in21k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="google/vit-large-patch32-224-in21k")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("google/vit-large-patch32-224-in21k") model = AutoModel.from_pretrained("google/vit-large-patch32-224-in21k") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
0880c44 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:b1ef17dda4424df4fc2ad3fb5e518656fa051399b384dbd86e0be7c92700518c
size 1226254412
|