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+    "deberta.encoder.layer.9.attention.self.value_proj.weight": "pytorch_model-00003-of-00006.bin",
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+    "deberta.encoder.layer.9.intermediate.dense.weight": "pytorch_model-00003-of-00006.bin",
+    "deberta.encoder.layer.9.output.LayerNorm.bias": "pytorch_model-00003-of-00006.bin",
+    "deberta.encoder.layer.9.output.LayerNorm.weight": "pytorch_model-00003-of-00006.bin",
+    "deberta.encoder.layer.9.output.dense.bias": "pytorch_model-00003-of-00006.bin",
+    "deberta.encoder.layer.9.output.dense.weight": "pytorch_model-00003-of-00006.bin",
+    "deberta.encoder.rel_embeddings.weight": "pytorch_model-00006-of-00006.bin"
+  }
+}

special_tokens_map.json

@@ -0,0 +1,9 @@
+{
+  "bos_token": "[BOS]",
+  "cls_token": "[CLS]",
+  "eos_token": "[EOS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

@@ -0,0 +1,13 @@
+{
+  "bos_token": "[BOS]",
+  "cls_token": "[CLS]",
+  "eos_token": "[EOS]",
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "name_or_path": "kakaobrain/kogpt",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "special_tokens_map_file": null,
+  "tokenizer_class": "PreTrainedTokenizerFast",
+  "unk_token": "[UNK]"
+}