Update README.md

README.md

@@ -2383,11 +2383,11 @@ This is a [sentence-transformers](https://www.SBERT.net) model trained. It maps
 
 ### Model Description
 - **Model Type:** Sentence Transformer
-- **Base model:** [XLM-RoBERTa-base-MSMARCO](https://huggingface.co/anonymous202501/xlm-roberta-base-msmarco)
+- **Base model:** [XLM-RoBERTa-base-MSMARCO](https://huggingface.co/PaDaS-Lab/xlm-roberta-base-msmarco)
 - **Maximum Sequence Length:** 512 tokens
 - **Output Dimensionality:** 768 dimensions
 - **Similarity Function:** Cosine Similarity
-- **Training Dataset:** [WebFAQ Retrieval Dataset](https://huggingface.co/datasets/anonymous202501/webfaq-retrieval)
+- **Training Dataset:** [WebFAQ Retrieval Dataset](https://huggingface.co/datasets/PaDaS-Lab/webfaq-retrieval)
 <!-- - **Language:** Unknown -->
 - **License:** MIT
 
@@ -2421,7 +2421,7 @@ Then you can load this model and run inference.
 from sentence_transformers import SentenceTransformer
 
 # Download from the 🤗 Hub
-model = SentenceTransformer("anonymous202501/xlm-roberta-base-msmarco-webfaq")
+model = SentenceTransformer("PaDaS-Lab/xlm-roberta-base-msmarco-webfaq")
 # Run inference
 sentences = [
     'Muss der Deckel der TipBox beim Autoklavieren geöffnet werden?',