AnandaSky

--- license: cc-by-nc-4.0 license_name: cc-by-nc-4.0 license_link: https://creativecommons.org/licenses/by-nc/4.0/ tags: - ocr - htr - vision-language-model - historical-documents - chinese - classical-chinese - image-to-text library_name: transformers pipeline_tag: image-to-text language: - zh metrics: - cer base_model: - Qwen/Qwen3-0.6B --- <p align="center"> <img src="assets/duowendiyi.jpg"> </p> # AnandaSky **AnandaSky** is a vision-language model for line-level transcription of historical sinographic documents. The name combines *Ananda*—the disciple of the Buddha traditionally associated with the "encoding" of early Buddhist texts—and *Sky*, the opening character of the *Thousand Character Classic*, a text long used in premodern China to enumerate items. ## Paper This model is described in the following paper: [**AnandaSky: A Vision--Language Model for Line-Level Transcription of Historical Sinographic Documents**](https://hal.science/view/index/docid/5548531) ## Model Overview AnandaSky is a vision-language model for efficient transcription of historical sinographic line images. It contains approximately **626M parameters** and combines: - a Vision Transformer (ViT) encoder - an autoregressive Qwen3-based decoder The model was trained on **4 million line images** extracted from historical documents produced in China and Korea between the **8th and 20th centuries**, including both printed editions and handwritten manuscripts. A full description of the datasets, preprocessing pipeline, and training procedure is provided in the accompanying paper. ## Evaluation Results The model achieves the following character error rates (CER) on in-domain test sets: | Dataset | CER | |---|---:| | MTHv2 | 0.92% | | Sibu Congkan | 0.43% | | Korean Anthologies | 0.33% | | Dunhuang Manuscripts | 1.38% | | Qing Legal Documents | 4.89% | The model achieves the following character error rates (CER) on held-out benchmarks: | Dataset | CER | |---|---:| | ICDAR2019-HDRC | 0.96% | | CUHK Challenge 2021 | 0.82% | | CUHK Challenge 2022 | 1.61% | ## Intended Use AnandaSky is intended for line-level transcription of historical sinographic documents. It can process both single-column and double-column vertical text layouts. ## Transcription Normalization If you notice that the model systematically produces an incorrect transcription for a specific character o...

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