Add convert_to_tensor=True to fix predict/rank until the next ST release

README.md

@@ -189,7 +189,7 @@ scores = model.predict(sentence_pairs, convert_to_tensor=True).tolist()
 [0.828125, 0.0927734375, 0.6328125, 0.08251953125, 0.76171875, 0.099609375, 0.92578125, 0.058349609375, 0.84375, 0.111328125]
 """
 
-rankings = model.rank(query, documents, return_documents=True)
+rankings = model.rank(query, documents, return_documents=True, convert_to_tensor=True)
 print(f"Query: {query}")
 for ranking in rankings:
     print(f"ID: {ranking['corpus_id']}, Score: {ranking['score']:.4f}, Text: {ranking['text']}")