Update model.py

model.py

@@ -1,9 +1,41 @@
+```python
 import torch.nn as nn
+from transformers import AutoModelForCausalLM
 
 class CodeGenerator(nn.Module):
+    """
+    A PyTorch module that generates code using a pre-trained language model.
+
+    This class inherits from `nn.Module` and encapsulates a pre-trained language model
+    from the Hugging Face Transformers library. The model is used to generate code
+    based on the input sequence.
+
+    Attributes:
+    - model (transformers.AutoModelForCausalLM): The pre-trained language model
+                                                used for code generation.
+    """
     def __init__(self, model_name):
+        """
+        Initializes a new instance of the `CodeGenerator` class.
+
+        Parameters:
+        - model_name (str): The name of the pre-trained language model to use.
+                           This should be a valid model name from the Hugging Face
+                           Transformers library.
+        """
         super().__init__()
-        self.model = transformers.AutoModelForCausalLM.from_pretrained(model_name)
+        self.model = AutoModelForCausalLM.from_pretrained(model_name)
 
     def forward(self, input_ids):
-        return self.model(input_ids)[0]
+        """
+        Generates code based on the input sequence.
+
+        Parameters:
+        - input_ids (torch.Tensor): A tensor of token IDs representing the input
+                                   sequence for the language model.
+
+        Returns:
+        torch.Tensor: The output tensor containing the generated code.
+        """
+        return self.model(input_ids)[0]
+```