surya_rec2 is an open-source vision-encoder-decoder model available on Hugging Face for document recognition and layout analysis tasks. It is built with the Transformers library and supports inference through the Hugging Face ecosystem. The model is intended for developers and researchers working on computer vision and document AI applications.
In the Other AI space, Surya Rec2 takes a focused approach. It focuses on running and experimenting with pre-trained document recognition models without training from scratch. Surya Rec2 is an open-source project aimed at machine learning developers. The project is open source (Open Source). The product ships for the web and API.
Behind Surya Rec2 is vikp, and the product first shipped in 2024. Among its 3 catalogued features are Document Recognition, Vision Encoder Decoder, and Transformers Compatible.
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