timm / vit_large_patch16_224.augreg_in21k

huggingface.co
Total runs: 19.6K
24-hour runs: 0
7-day runs: 123
30-day runs: 18.6K
Model's Last Updated: January 21 2025
image-classification

Introduction of vit_large_patch16_224.augreg_in21k

Model Details of vit_large_patch16_224.augreg_in21k

Model card for vit_large_patch16_224.augreg_in21k

A Vision Transformer (ViT) image classification model. Trained on ImageNet-21k (with additional augmentation and regularization) in JAX by paper authors, ported to PyTorch by Ross Wightman.

Model Details
Model Usage
Image Classification
from urllib.request import urlopen
from PIL import Image
import timm

img = Image.open(urlopen(
    'https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/beignets-task-guide.png'
))

model = timm.create_model('vit_large_patch16_224.augreg_in21k', pretrained=True)
model = model.eval()

# get model specific transforms (normalization, resize)
data_config = timm.data.resolve_model_data_config(model)
transforms = timm.data.create_transform(**data_config, is_training=False)

output = model(transforms(img).unsqueeze(0))  # unsqueeze single image into batch of 1

top5_probabilities, top5_class_indices = torch.topk(output.softmax(dim=1) * 100, k=5)
Image Embeddings
from urllib.request import urlopen
from PIL import Image
import timm

img = Image.open(urlopen(
    'https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/beignets-task-guide.png'
))

model = timm.create_model(
    'vit_large_patch16_224.augreg_in21k',
    pretrained=True,
    num_classes=0,  # remove classifier nn.Linear
)
model = model.eval()

# get model specific transforms (normalization, resize)
data_config = timm.data.resolve_model_data_config(model)
transforms = timm.data.create_transform(**data_config, is_training=False)

output = model(transforms(img).unsqueeze(0))  # output is (batch_size, num_features) shaped tensor

# or equivalently (without needing to set num_classes=0)

output = model.forward_features(transforms(img).unsqueeze(0))
# output is unpooled, a (1, 197, 1024) shaped tensor

output = model.forward_head(output, pre_logits=True)
# output is a (1, num_features) shaped tensor
Model Comparison

Explore the dataset and runtime metrics of this model in timm model results .

Citation
@article{steiner2021augreg,
  title={How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers},
  author={Steiner, Andreas and Kolesnikov, Alexander and and Zhai, Xiaohua and Wightman, Ross and Uszkoreit, Jakob and Beyer, Lucas},
  journal={arXiv preprint arXiv:2106.10270},
  year={2021}
}
@article{dosovitskiy2020vit,
  title={An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale},
  author={Dosovitskiy, Alexey and Beyer, Lucas and Kolesnikov, Alexander and Weissenborn, Dirk and Zhai, Xiaohua and Unterthiner, Thomas and  Dehghani, Mostafa and Minderer, Matthias and Heigold, Georg and Gelly, Sylvain and Uszkoreit, Jakob and Houlsby, Neil},
  journal={ICLR},
  year={2021}
}
@misc{rw2019timm,
  author = {Ross Wightman},
  title = {PyTorch Image Models},
  year = {2019},
  publisher = {GitHub},
  journal = {GitHub repository},
  doi = {10.5281/zenodo.4414861},
  howpublished = {\url{https://github.com/huggingface/pytorch-image-models}}
}

Runs of timm vit_large_patch16_224.augreg_in21k on huggingface.co

19.6K
Total runs
0
24-hour runs
181
3-day runs
123
7-day runs
18.6K
30-day runs

More Information About vit_large_patch16_224.augreg_in21k huggingface.co Model

More vit_large_patch16_224.augreg_in21k license Visit here:

https://choosealicense.com/licenses/apache-2.0

vit_large_patch16_224.augreg_in21k huggingface.co

vit_large_patch16_224.augreg_in21k huggingface.co is an AI model on huggingface.co that provides vit_large_patch16_224.augreg_in21k's model effect (), which can be used instantly with this timm vit_large_patch16_224.augreg_in21k model. huggingface.co supports a free trial of the vit_large_patch16_224.augreg_in21k model, and also provides paid use of the vit_large_patch16_224.augreg_in21k. Support call vit_large_patch16_224.augreg_in21k model through api, including Node.js, Python, http.

vit_large_patch16_224.augreg_in21k huggingface.co Url

https://huggingface.co/timm/vit_large_patch16_224.augreg_in21k

timm vit_large_patch16_224.augreg_in21k online free

vit_large_patch16_224.augreg_in21k huggingface.co is an online trial and call api platform, which integrates vit_large_patch16_224.augreg_in21k's modeling effects, including api services, and provides a free online trial of vit_large_patch16_224.augreg_in21k, you can try vit_large_patch16_224.augreg_in21k online for free by clicking the link below.

timm vit_large_patch16_224.augreg_in21k online free url in huggingface.co:

https://huggingface.co/timm/vit_large_patch16_224.augreg_in21k

vit_large_patch16_224.augreg_in21k install

vit_large_patch16_224.augreg_in21k is an open source model from GitHub that offers a free installation service, and any user can find vit_large_patch16_224.augreg_in21k on GitHub to install. At the same time, huggingface.co provides the effect of vit_large_patch16_224.augreg_in21k install, users can directly use vit_large_patch16_224.augreg_in21k installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

vit_large_patch16_224.augreg_in21k install url in huggingface.co:

https://huggingface.co/timm/vit_large_patch16_224.augreg_in21k

Url of vit_large_patch16_224.augreg_in21k

vit_large_patch16_224.augreg_in21k huggingface.co Url

Provider of vit_large_patch16_224.augreg_in21k huggingface.co

timm
ORGANIZATIONS

Other API from timm

huggingface.co

Total runs: 19.0M
Run Growth: -1.8M
Growth Rate: -9.67%
Updated: January 21 2025
huggingface.co

Total runs: 4.9M
Run Growth: 3.3M
Growth Rate: 68.60%
Updated: January 21 2025
huggingface.co

Total runs: 125.5K
Run Growth: 103.6K
Growth Rate: 82.60%
Updated: October 25 2023
huggingface.co

Total runs: 121.9K
Run Growth: -120.0K
Growth Rate: -98.99%
Updated: January 21 2025
huggingface.co

Total runs: 113.9K
Run Growth: -112.3K
Growth Rate: -100.13%
Updated: January 21 2025
huggingface.co

Total runs: 112.5K
Run Growth: 101.7K
Growth Rate: 89.79%
Updated: January 21 2025
huggingface.co

Total runs: 90.3K
Run Growth: 64.4K
Growth Rate: 80.38%
Updated: January 21 2025
huggingface.co

Total runs: 31.4K
Run Growth: 8.7K
Growth Rate: 27.99%
Updated: January 21 2025
huggingface.co

Total runs: 24.0K
Run Growth: 7.5K
Growth Rate: 31.41%
Updated: January 21 2025
huggingface.co

Total runs: 22.4K
Run Growth: 15.1K
Growth Rate: 70.96%
Updated: January 21 2025
huggingface.co

Total runs: 20.8K
Run Growth: 6.5K
Growth Rate: 32.11%
Updated: January 21 2025
huggingface.co

Total runs: 20.5K
Run Growth: 6.0K
Growth Rate: 30.02%
Updated: January 21 2025
huggingface.co

Total runs: 20.5K
Run Growth: 5.8K
Growth Rate: 28.79%
Updated: January 21 2025
huggingface.co

Total runs: 20.2K
Run Growth: 15.2K
Growth Rate: 76.29%
Updated: January 21 2025