Add usage example file

example_usage.py

@@ -0,0 +1,44 @@
+# STACKS Usage Example
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+def load_stacks():
+    """Load STACKS model and tokenizer"""
+    model = AutoModelForCausalLM.from_pretrained(
+        "gouthamsai78/STACKS",
+        torch_dtype=torch.bfloat16,
+        device_map="auto",
+        attn_implementation="eager"
+    )
+    tokenizer = AutoTokenizer.from_pretrained("gouthamsai78/STACKS")
+    return model, tokenizer
+
+def generate_prompt(role, model, tokenizer, temperature=0.8):
+    """Generate creative prompt for given role"""
+    input_text = f"### Task: Generate a creative prompt for someone acting as {role}\n### Generated Prompt:"
+    inputs = tokenizer(input_text, return_tensors="pt")
+    
+    with torch.no_grad():
+        outputs = model.generate(
+            **inputs,
+            max_new_tokens=200,
+            temperature=temperature,
+            do_sample=True,
+            top_p=0.9,
+            repetition_penalty=1.1,
+            pad_token_id=tokenizer.eos_token_id
+        )
+    
+    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return response[len(input_text):].strip()
+
+# Example usage
+if __name__ == "__main__":
+    model, tokenizer = load_stacks()
+    
+    # Generate prompts for different roles
+    roles = ["chef", "detective", "astronaut", "teacher", "artist"]
+    
+    for role in roles:
+        prompt = generate_prompt(role, model, tokenizer)
+        print(f"**{role.title()}**: {prompt}\n")