Create gemmacode/model.py

germmacode/gemmacode/model.py

@@ -0,0 +1,9 @@
+import torch.nn as nn
+
+class CodeGenerator(nn.Module):
+    def __init__(self, model_name):
+        super().__init__()
+        self.model = transformers.AutoModelForCausalLM.from_pretrained(model_name)
+
+    def forward(self, input_ids):
+        return self.model(input_ids)[0]