Update modeling_pypilot.py

modeling_pypilot.py

@@ -1,14 +1,31 @@
-# PyPilot model architecture
+# PyPilot Model Architecture
 import torch
 import torch.nn as nn
+from transformers import PreTrainedModel, PretrainedConfig
 
-class PyPilotModel(nn.Module):
-    def __init__(self, config):
-        super().__init__()
-        self.config = config
-        # We'll add the actual model layers here later
-        print("PyPilot model created!")
+class PyPilotConfig(PretrainedConfig):
+    model_type = "pypilot"
+    
+    def __init__(self, vocab_size=50000, hidden_size=768, num_layers=12, **kwargs):
+        self.vocab_size = vocab_size
+        self.hidden_size = hidden_size
+        self.num_layers = num_layers
+        super().__init__(**kwargs)
+
+class PyPilotModel(PreTrainedModel):
+    config_class = PyPilotConfig
     
+    def __init__(self, config):
+        super().__init__(config)
+        self.embedding = nn.Embedding(config.vocab_size, config.hidden_size)
+        self.transformer_blocks = nn.ModuleList([
+            nn.TransformerEncoderLayer(config.hidden_size, 8) 
+            for _ in range(config.num_layers)
+        ])
+        self.output_layer = nn.Linear(config.hidden_size, config.vocab_size)
+        
     def forward(self, input_ids):
-        # This is where the model processes code
-        return "Processing code..."
+        x = self.embedding(input_ids)
+        for block in self.transformer_blocks:
+            x = block(x)
+        return self.output_layer(x)