Update README.md

README.md

@@ -34,7 +34,7 @@ Load this model using the `from_pretrained` method:
 from model2vec import StaticModel
 
 # Load a pretrained Model2Vec model
-model = StaticModel.from_pretrained("distilled-linq-mistral-i8")
+model = StaticModel.from_pretrained("cnmoro/Linq-Embed-Mistral-Distilled")
 
 # Compute text embeddings
 embeddings = model.encode(["Example sentence"])
@@ -48,7 +48,7 @@ You can also use the [Sentence Transformers library](https://github.com/UKPLab/s
 from sentence_transformers import SentenceTransformer
 
 # Load a pretrained Sentence Transformer model
-model = SentenceTransformer("distilled-linq-mistral-i8")
+model = SentenceTransformer("cnmoro/Linq-Embed-Mistral-Distilled")
 
 # Compute text embeddings
 embeddings = model.encode(["Example sentence"])