---
license: mit
datasets:
- YuukiAsuna/VietnameseTableVQA
language:
- vi
base_model:
- 5CD-AI/Vintern-1B-v2
pipeline_tag: document-question-answering
library_name: transformers
---
# Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->
Vintern-1B-v2-ViTable-docvqa is a fine-tuned version of the 5CD-AI/Vintern-1B-v2 multimodal model for the Vietnamese DocVQA (Table data)


## Benchmarks

To be developed later

## Quickstart

To be developed later

**Citation:**

```bibtex
@misc{doan2024vintern1befficientmultimodallarge,
      title={Vintern-1B: An Efficient Multimodal Large Language Model for Vietnamese}, 
      author={Khang T. Doan and Bao G. Huynh and Dung T. Hoang and Thuc D. Pham and Nhat H. Pham and Quan T. M. Nguyen and Bang Q. Vo and Suong N. Hoang},
      year={2024},
      eprint={2408.12480},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2408.12480}, 
}
```