Fix: Pass local_files_only from pipeline() to model loading

src/transformers/integrations/peft.py

@@ -106,6 +106,7 @@ def load_adapter(
         low_cpu_mem_usage: bool = False,
         is_trainable: bool = False,
         hotswap: bool | Literal["auto"] = "auto",
+        local_files_only: bool = False,
         adapter_kwargs: dict[str, Any] | None = None,
     ) -> None:
         """
@@ -278,6 +279,7 @@ def load_adapter(
             adapter_config_file = find_adapter_config_file(
                 peft_model_id,
                 token=token,
+                local_files_only=local_files_only,
                 **adapter_kwargs,
             )
 
@@ -290,6 +292,7 @@ def load_adapter(
             peft_config = PeftConfig.from_pretrained(
                 peft_model_id,
                 token=token,
+                local_files_only=local_files_only,
                 **adapter_kwargs,
             )
             peft_config.inference_mode = not is_trainable
@@ -306,6 +309,8 @@ def load_adapter(
             self._hf_peft_config_loaded = True
 
         if peft_model_id is not None:
+            if "local_files_only" not in adapter_kwargs:
+                adapter_kwargs["local_files_only"] = local_files_only
             adapter_state_dict = load_peft_weights(peft_model_id, token=token, device=device, **adapter_kwargs)
 
         # We need to pre-process the state dict to remove unneeded prefixes - for backward compatibility

src/transformers/pipelines/__init__.py

@@ -687,12 +687,14 @@ def pipeline(
 
     code_revision = kwargs.pop("code_revision", None)
     commit_hash = kwargs.pop("_commit_hash", None)
+    local_files_only = kwargs.get("local_files_only", False)
 
     hub_kwargs = {
         "revision": revision,
         "token": token,
         "trust_remote_code": trust_remote_code,
         "_commit_hash": commit_hash,
+        "local_files_only": local_files_only
     }
 
     if task is None and model is None: