Update README.md

README.md

@@ -18,7 +18,7 @@ tags:
 base_model:
 - sentence-transformers/all-MiniLM-L6-v2
 ---
-# CLOSP-RN
+# CLOSP-VS
 
 CLOSP (Contrastive Language Optical SAR Pretraining) is a multimodal architecture designed for text-to-image retrieval. 
 It creates a unified embedding space for text, Sentinel-2 (MSI), and Sentinel-1 (SAR) data. 
@@ -42,7 +42,7 @@ During training, it uses a contrastive objective to align the textual embeddings
 Use the code below to get started with the model.
 
 ```python
-model = AutoModel.from_pretrained("DarthReca/CLOSP-RN", trust_remote_code=True)  
+model = AutoModel.from_pretrained("DarthReca/CLOSP-VS", trust_remote_code=True)  
 ```
 
 ## Citation