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config.json

@@ -1,12 +1,7 @@
 {
   "architectures": [
-    "DebertaV3SequenceClassifier"
+    "DebertaSequenceClassifier"
   ],
-  "auto_map": {
-    "AutoModel": "model.DebertV3SequenceClassifier",
-    "AutoModelForSequenceClassification":
-      "model.DebertaV3SequenceClassifier"
-  },
   "attention_probs_dropout_prob": 0.1,
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,

model.py

@@ -2,8 +2,8 @@ import torch
 import torch.nn as nn
 import torch.nn.functional as F
 
-from transformers import (                # everything stays “DeBERTa” under the hood
-    DebertaV2Model,                       #     – we just add a new forward pass
+from transformers import (
+    DebertaV2Model,
     DebertaV2PreTrainedModel,
     DebertaV2Config,
 )

tokenizer.json

@@ -1,21 +1,7 @@
 {
   "version": "1.0",
-  "truncation": {
-    "direction": "Right",
-    "max_length": 512,
-    "strategy": "LongestFirst",
-    "stride": 0
-  },
-  "padding": {
-    "strategy": {
-      "Fixed": 512
-    },
-    "direction": "Right",
-    "pad_to_multiple_of": null,
-    "pad_id": 0,
-    "pad_type_id": 0,
-    "pad_token": "[PAD]"
-  },
+  "truncation": null,
+  "padding": null,
   "added_tokens": [
     {
       "id": 0,