fix

Signed-off-by: wang.yuqi <[email protected]>

Author: noooop

examples/offline_inference/converting2seq_cls_models.py

@@ -77,7 +77,8 @@ def converting(model_name, classifier_from_tokens, path, method, device="cpu"):
 
 def parse_args():
     parser = argparse.ArgumentParser(
-        description="Converting *ForCausalLM models to *ForSequenceClassification models."
+        description="Converting *ForCausalLM models to "
+        "*ForSequenceClassification models."
     )
     parser.add_argument(
         "--model_name", type=str, default="Qwen/Qwen3-Reranker-0.6B", help="Model name"

tests/models/language/pooling/score_utils.py

@@ -52,5 +52,6 @@ def ping_pong_test_score_models(hf_runner,
         ]
 
     for i in range(len(sentences)):
-        assert float(hf_outputs[i]) == pytest.approx(float(vllm_outputs[i]), rel=0.01), \
+        assert float(hf_outputs[i]) == pytest.approx(float(vllm_outputs[i]),
+                                                     rel=0.01), \
             f"Test failed at #{i}, vllm: {vllm_outputs[i]}, st: {hf_outputs[i]}"