An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Classify images using a transformer model designed for high-performance recognition.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeAn Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
pytorch-vit has 309 stars on GitHub. It has been forked 36 times. pytorch-vit is written mainly in Python. It has been in active development since 2020. pytorch-vit is available under the MIT license. Its main topics are hybrid-vit, image-classification, image-recognition, transformers.
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
pytorch-vit is an open-source project. It is released under the MIT license.
Yes. pytorch-vit is free and open source — you can use, modify and self-host it.
pytorch-vit is available under the MIT license.
pytorch-vit is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/gupta-abhay-pytorch-vit.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.