Add HF-standard offline package (auto_map + modeling_kbert_mtl.py)

modeling_kbert_mtl.py

@@ -1,24 +1,28 @@
 # modeling_kbert_mtl.py
 import torch
 import torch.nn as nn
-from transformers import PreTrainedModel, AutoModel, AutoConfig, BertConfig  # ← 추가
+from transformers import PreTrainedModel, AutoModel, AutoConfig, BertConfig
 
 def _config_from_base_dict(base_cfg_dict: dict):
     if base_cfg_dict is None:
         raise ValueError("config.base_model_config is required for offline load.")
-    model_type = base_cfg_dict.get("model_type", "bert")
-    kwargs = {k: v for k, v in base_cfg_dict.items() if k != "model_type"}
-    return AutoConfig.for_model(model_type, **kwargs)
+    model_type = "bert"
+    try:
+        kwargs = {k: v for k, v in base_cfg_dict.items() if k != "model_type"}
+        cfg = AutoConfig.for_model(model_type, **kwargs)
+    except Exception:
+        cfg = BertConfig(**{k: v for k, v in base_cfg_dict.items() if k != "model_type"})
+    return cfg
 
 class KbertMTL(PreTrainedModel):
-    config_class = BertConfig 
+    config_class = BertConfig
 
     def __init__(self, config):
         super().__init__(config)
-
         base_cfg_dict = getattr(config, "base_model_config", None)
         base_cfg = _config_from_base_dict(base_cfg_dict)
-        self.bert = AutoModel.from_config(base_cfg) 
+
+        self.bert = AutoModel.from_config(base_cfg)
 
         hidden = self.bert.config.hidden_size
         self.head_senti = nn.Linear(hidden, 5)