Task
Image Classification
V
google/vit-large-patch16-224
Image Classification·google· 148.4K· 48
transformers
apache-2.0
Image Classification
dataset:imagenet-1kdataset:imagenet-21karxiv:2010.11929arxiv:2006.03677license:apache-2.0
Vision Transformer (ViT) model pre-trained on ImageNet-21k (14 million images, 21,843 classes) at resolution 224x224, and fine-tuned on ImageNet 2012 (1 million images, 1,000 classes) at resolution 224x224. It was introduced in the paper An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale by Dosovitskiy et al. and first released in this repository. However, the weights were
# pull & run locally
pip install mlforge-sdk && mlforge pull google/vit-large-patch16-224
pip install mlforge-sdk && mlforge pull google/vit-large-patch16-224
Model details
Provider
google
Framework
transformers
Size
5.7 GB
License
apache-2.0
Downloads
148.4K
Likes
48
Paper
arXiv:2010.11929
Updated
2022-06-23
About google/vit-large-patch16-224
Vision Transformer (ViT) model pre-trained on ImageNet-21k (14 million images, 21,843 classes) at resolution 224x224, and fine-tuned on ImageNet 2012 (1 million images, 1,000 classes) at resolution 224x224. It was introduced in the paper An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale by Dosovitskiy et al. and first released in this repository. However, the weights were converted from the timm repository by Ross Wightman, who already converted the weights from JAX to PyTorch. Credits go to him.