README.md

---
library_name: transformers
license: cc-by-nc-sa-4.0
tags: []
---

## Model Details

- Model: ReasonSigLIP2-So14-384-S2
- Base model: [google/siglip2-so400m-patch14-384](https://huggingface.co/google/siglip2-so400m-patch14-384)
- Architecture: SigLIP2 ViT-So400M/14
- Image resolution: 384
- Training stage: Stage 2
- Training data: [ReasonLite-42M](https://huggingface.co/datasets/RISys-Lab/ReasonCLIPLite-42M) and [ReasonPro-16M](https://huggingface.co/datasets/RISys-Lab/ReasonCLIPPro-16M)

## Method

![Method overview](https://raw.githubusercontent.com/RISys-Lab/ReasonCLIP/main/doc/method.png)

## Resources

- GitHub: [RISys-Lab/ReasonCLIP](https://github.com/RISys-Lab/ReasonCLIP)
- Paper: [arXiv:2606.26794](https://arxiv.org/abs/2606.26794)
- Playground: [ReasonCLIP Playground](https://www.sczhang.com/reasonclip/)

## Usage

```python
from transformers import AutoModel, AutoProcessor

model_id = "RISys-Lab/ReasonSigLIP2-So14-384-S2"
model = AutoModel.from_pretrained(model_id)
processor = AutoProcessor.from_pretrained(model_id)
```

For the full checkpoint list, see the [ReasonCLIP model card](https://github.com/RISys-Lab/ReasonCLIP/blob/main/doc/model_card.md).