Adds a quick start guide with practical, runnable examples to help new users get started with JSONformer.

examples/quick_start_guide.py

@@ -0,0 +1,43 @@
+"""Quick Start Guide with Practical Examples"""
+
+from jsonformer import Jsonformer
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Load small model for quick testing
+print("Loading model (this may take a minute first time)...")
+model = AutoModelForCausalLM.from_pretrained("microsoft/DialoGPT-small")
+tokenizer = AutoTokenizer.from_pretrained("microsoft/DialoGPT-small")
+if tokenizer.pad_token is None:
+    tokenizer.pad_token = tokenizer.eos_token
+
+# Example 1: Simple User Profile
+print("\n=== Example 1: User Profile ===")
+user_schema = {
+    "type": "object",
+    "properties": {
+        "username": {"type": "string"},
+        "age": {"type": "number"},
+        "is_premium": {"type": "boolean"},
+        "interests": {"type": "array", "items": {"type": "string"}},
+    },
+}
+jsonformer = Jsonformer(model, tokenizer, user_schema, "Generate a user profile:")
+print(jsonformer())
+
+# Example 2: Product Information
+print("\n=== Example 2: Product Info ===")
+product_schema = {
+    "type": "object",
+    "properties": {
+        "name": {"type": "string"},
+        "price": {"type": "number"},
+        "in_stock": {"type": "boolean"},
+        "tags": {"type": "array", "items": {"type": "string"}},
+    },
+}
+jsonformer = Jsonformer(
+    model, tokenizer, product_schema, "Generate product information:"
+)
+print(jsonformer())
+
+print("\nAll examples completed!")