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.
Surya Rec2 sits in PulseGate's Other AI category. 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). It ships for the web and API.
vikp builds and maintains Surya Rec2, and it first shipped in 2024. Key capabilities include Document Recognition, Vision Encoder Decoder, and Transformers Compatible.
Summary written by a language model from the project’s public pages.
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