Update README.md

README.md

@@ -62,16 +62,15 @@ We train Qwen2.5-VL-3B and Qwen2.5-VL-7B with our Spatial-SSRL paradigm and the
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 ## 🛠️ Usage
-To directly experience <strong>Spatial-SSRL-7B</strong>, you can try it out on [🤗Spatial-SSRL Space](https://huggingface.co/spaces/yuhangzang/Spatial-SSRL)!
 
-Here we provide a code snippet for you to start a simple trial of <strong>Spatial-SSRL-7B</strong> on your own device. You can download the model from 🤗<a href="https://huggingface.co/internlm/Spatial-SSRL-7B">Spatial-SSRL-7B Model</a > before your trial!
+Here we provide a code snippet for you to start a simple trial of <strong>Spatial-SSRL-3B</strong> on your own device. You can download the model from 🤗<a href="https://huggingface.co/internlm/Spatial-SSRL-3B">Spatial-SSRL-3B Model</a > before your trial!
 </p>
 
 ```python
 from transformers import Qwen2_5_VLForConditionalGeneration, AutoTokenizer, AutoProcessor
 from qwen_vl_utils import process_vision_info
 
-model_path = "internlm/Spatial-SSRL-7B" #You can change it to your own local path if deployed already
+model_path = "internlm/Spatial-SSRL-3B" #You can change it to your own local path if deployed already
 img_path = "examples/eg1.jpg"
 question = "Consider the real-world 3D locations of the objects. Which object has a higher location? A. yellow bear kite B. building"
 #We recommend using the format prompt to make the inference consistent with training