init

custom_model.py

@@ -0,0 +1,21 @@
+# custom_model.py
+from transformers import PreTrainedModel, PretrainedConfig
+import torch
+import torch.nn as nn
+
+class CustomModelConfig(PretrainedConfig):
+    model_type = "custom-model"
+    def __init__(self, hidden_size=128, **kwargs):
+        super().__init__(**kwargs)
+        self.hidden_size = hidden_size
+
+class CustomModel(PreTrainedModel):
+    config_class = CustomModelConfig
+    
+    def __init__(self, config):
+        super().__init__(config)
+        self.linear = nn.Linear(config.hidden_size, config.hidden_size)
+    
+    def forward(self, input_ids):
+        output = self.linear(input_ids)
+        return output