Merge similar examples in offline_inference into single basic example (#12737)

examples/offline_inference/basic/score.py

@@ -0,0 +1,38 @@
+# SPDX-License-Identifier: Apache-2.0
+
+from argparse import Namespace
+
+from vllm import LLM, EngineArgs
+from vllm.utils import FlexibleArgumentParser
+
+
+def main(args: Namespace):
+    # Sample prompts.
+    text_1 = "What is the capital of France?"
+    texts_2 = [
+        "The capital of Brazil is Brasilia.",
+        "The capital of France is Paris.",
+    ]
+
+    # Create an LLM.
+    # You should pass task="score" for cross-encoder models
+    model = LLM(**vars(args))
+
+    # Generate scores. The output is a list of ScoringRequestOutputs.
+    outputs = model.score(text_1, texts_2)
+
+    # Print the outputs.
+    for text_2, output in zip(texts_2, outputs):
+        score = output.outputs.score
+        print(f"Pair: {[text_1, text_2]!r} | Score: {score}")
+
+
+if __name__ == "__main__":
+    parser = FlexibleArgumentParser()
+    parser = EngineArgs.add_cli_args(parser)
+    # Set example specific arguments
+    parser.set_defaults(model="BAAI/bge-reranker-v2-m3",
+                        task="score",
+                        enforce_eager=True)
+    args = parser.parse_args()
+    main(args)