[Model] Automatic conversion of TokenClassification model (#30666)

Signed-off-by: wang.yuqi <yuqi.wang@daocloud.io>

vllm/model_executor/models/adapters.py

@@ -337,6 +337,18 @@ def as_seq_cls_model(cls: _T) -> _T:
             tokens = getattr(text_config, "classifier_from_token", None)
             method = getattr(text_config, "method", None)
 
+            def auto_set_score_bias(weights):
+                for name, weight in weights:
+                    if name == "score.bias":
+                        device = self.score.weight.device
+                        dtype = self.score.weight.dtype
+                        bias = weight.to(device).to(dtype)
+                        self.score.bias = torch.nn.Parameter(bias)
+                        self.score.skip_bias_add = False
+                    else:
+                        yield name, weight
+
+            weights = auto_set_score_bias(weights)
             if tokens is None and method is None:
                 return super().load_weights(weights)
             else: