yitu-opensource/T2T-ViT

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

1191 stars · 177 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Official PyTorch implementation of Tokens-to-Token ViT (T2T-ViT), an ICCV 2021 vision transformer architecture trained from scratch on ImageNet. It provides model definitions, pretrained checkpoints, and training scripts for the T2T-ViT family.

Use cases

• train a vision transformer from scratch on ImageNet
• use pretrained T2T-ViT models for image classification
• compare vision transformer architectures by parameter count and accuracy
• fine-tune a T2T-ViT checkpoint on a custom image dataset
• reproduce ICCV 2021 T2T-ViT paper results

When to choose

• you need a vision transformer that trains from scratch without large-scale pretraining
• you want pretrained ImageNet checkpoints with a good accuracy-to-parameter tradeoff
• you are researching progressive tokenization in transformers

When to avoid

• you need a maintained general-purpose vision model zoo (use timm instead)
• you require support for the latest PyTorch versions or modern training features
• you need non-image modalities or production deployment tooling

Facets

library · maturity maintenance

machine-learning deep-learning computer-vision image-processing deep-learning machine-learning python vision-transformer vit image-classification pytorch imagenet research-code iccv-2021 gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="yitu-opensource/T2T-ViT")