chore: update example code

README.md

@@ -75,7 +75,7 @@ Then, you can use the following code to interact with the model:
 from sentence_transformers import CrossEncoder
 
 # Load the model, here we use our base sized model
-model = CrossEncoder("jina-reranker-v1-turbo-en", num_labels=1, automodel_args={'trust_remote_code': True})
+model = CrossEncoder("jinaai/jina-reranker-v1-turbo-en", num_labels=1, automodel_args={'trust_remote_code': True})
 
 
 # Example query and documents
@@ -103,7 +103,7 @@ results = model.rank(query, documents, return_documents=True, top_k=3)
 from transformers import AutoModelForSequenceClassification
 
 model = AutoModelForSequenceClassification.from_pretrained(
-    'jina-reranker-v1-turbo-en', num_labels=1, trust_remote_code=True
+    'jinaai/jina-reranker-v1-turbo-en', num_labels=1, trust_remote_code=True
 )
 
 # Example query and documents