Update model files

run_gpt2.py

@@ -0,0 +1,31 @@
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+# Path to your local model
+model_name = "./"  # assuming run_gpt2.py is in the model folder
+
+# Load tokenizer and model
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+# Make sure model is in evaluation mode
+model.eval()
+
+# Example input text
+input_text = "Hello, my name is"
+
+# Encode input
+inputs = tokenizer(input_text, return_tensors="pt")
+
+# Safe generation settings for CPU
+with torch.no_grad():
+    output_ids = model.generate(
+        **inputs,
+        max_new_tokens=20,    # generate 20 new tokens
+        do_sample=False,      # deterministic, avoids NaNs
+        pad_token_id=tokenizer.eos_token_id  # avoids attention mask issues
+    )
+
+# Decode and print output
+generated_text = tokenizer.decode(output_ids[0], skip_special_tokens=True)
+print("Generated text:\n", generated_text)