Update README.md

README.md

@@ -38,6 +38,12 @@ SentenceTransformer(
 
 ## Usage
 
+Use the instructions to achieve the best performance from the model:
+```
+general_ins = "Given a question, retrieve relevant evidence that can answer the question from all knowledge sources:"
+single_source_inst = "Given a question, retrieve relevant evidence that can answer the question from Text sources:"
+```
+
 ### Direct Usage (Sentence Transformers)
 
 First install the Sentence Transformers library:
@@ -53,11 +59,19 @@ from sentence_transformers import SentenceTransformer
 # Download from the 🤗 Hub
 model = SentenceTransformer("ZhishanQ/UniHGKR-base-beir")
 # Run inference
+
+general_ins = "Given a question, retrieve relevant evidence that can answer the question from all knowledge sources:"
+single_source_inst = "Given a question, retrieve relevant evidence that can answer the question from Text sources:"
+
 sentences = [
     'The weather is lovely today.',
     "It's so sunny outside!",
     'He drove to the stadium.',
 ]
+
+# Prepend each sentence with the instruction
+updated_sentences = [f"{single_source_inst} {sentence}" for sentence in sentences]
+
 embeddings = model.encode(sentences)
 print(embeddings.shape)
 # [3, 768]