add trust_remote_code note (modelscope#522)

modelscope/utils/automodel_utils.py

@@ -66,7 +66,7 @@ def try_to_load_hf_model(model_dir: str, task_name: str,
 
     if use_hf and automodel_class is None:
         raise ValueError(f'Model import failed. You used `use_hf={use_hf}`, '
-                         'but the model is not a model of hf')
+                         'but the model is not a model of hf.')
 
     model = None
     if automodel_class is not None:

modelscope/utils/hf_util.py

@@ -112,22 +112,29 @@ def check_hf_code(model_dir: str, auto_class: type,
     # trust_remote_code is False or has_remote_code is False
     model_type = config_dict.get('model_type', None)
     if model_type is None:
-        raise ValueError(f'`model_type` key is not found in {config_path}')
+        raise ValueError(f'`model_type` key is not found in {config_path}.')
 
+    trust_remote_code_info = '.'
+    if not trust_remote_code:
+        trust_remote_code_info = ', You can try passing `trust_remote_code=True`.'
     if auto_class is AutoConfigHF:
         if model_type not in CONFIG_MAPPING:
-            raise ValueError(f'{model_type} not found in HF CONFIG_MAPPING')
+            raise ValueError(
+                f'{model_type} not found in HF `CONFIG_MAPPING`{trust_remote_code_info}'
+            )
     elif auto_class is AutoTokenizerHF:
         if model_type not in TOKENIZER_MAPPING_NAMES:
             raise ValueError(
-                f'{model_type} not found in HF TOKENIZER_MAPPING_NAMES')
+                f'{model_type} not found in HF `TOKENIZER_MAPPING_NAMES`{trust_remote_code_info}'
+            )
     else:
         mapping_names = [
             m.model_type for m in auto_class._model_mapping.keys()
         ]
         if model_type not in mapping_names:
             raise ValueError(
-                f'{model_type} not found in HF auto_class._model_mapping')
+                f'{model_type} not found in HF `auto_class._model_mapping`{trust_remote_code_info}'
+            )
 
 
 def get_wrapped_class(module_class, ignore_file_pattern=[], **kwargs):