Update README.md

README.md

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-license: cc-by-4.0
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+---
+license: cc-by-4.0
+---
+
+# Model Card for LoTLIP ViT-B/32
+
+## Model Details
+
+### Model Description
+
+LoTLIP ViT-B/32 model pre-trained on 100M scale dataset.
+
+
+
+### Direct Use
+
+Zero-shot long text-image retrieval, short text-image retrieval, and image classification, among others.
+
+
+## How to Get Started with the Model
+
+Use the [code](https://github.com/wuw2019/LoTLIP) to get started with the model.
+
+
+## Training Details
+
+### Training Data
+
+The models are trained with 100M scale dataset which contains long text-image pairs.
+
+
+## Evaluation
+
+Please refer to https://github.com/wuw2019/LoTLIP.
+
+### Testing Details
+
+#### Testing Data
+
+The testing is performed with [DCI](https://github.com/facebookresearch/DCI), [IIW](https://github.com/google/imageinwords/) and [ShareGPT4V](https://sharegpt4v.github.io/) for long text-image retrieval and ImageNet1k for classification.
+
+
+### Results
+
+| Model |Pre-training Data Scale   | DCI I2T | DCI T2I| IIW I2T |IIW T2I| SV-10k I2T | SV-10k T2I |
+|  :----: | :----: | :----: | :----: | :----: | :----: | :----: | :----: |
+| LoTLIP-ViT-B-32 |  100M | 59.90 | 56.36 | 93.14| 91.83 | 83.76 | 78.97|
+
+
+
+
+
+## Citation
+
+
+BibTeX:
+
+```bibtex
+@inproceedings{LoTLIP,
+  title={LoTLIP: Improving Language-Image Pre-training for Long Text Understanding},
+  author={Wu, Wei and Zheng, Kecheng and Ma, Shuailei and Lu, Fan and Guo, Yuxin and Zhang, Yifei and Chen, Wei and Guo, Qingpei and Shen, Yujun and Zheng-Jun, Zha},
+  booktitle={arXiv},
+  year={2024}
+}
+```