Update README.md

README.md

@@ -10,3 +10,36 @@ base_model:
 pipeline_tag: text-generation
 ---
 
+
+"""  from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+model_path = ""
+
+# Load the tokenizer and set the padding token to the eos_token.
+tokenizer = AutoTokenizer.from_pretrained(model_path)
+tokenizer.pad_token = tokenizer.eos_token
+
+model = AutoModelForCausalLM.from_pretrained(
+    model_path,
+    torch_dtype=torch.float16,
+    device_map="auto"
+).to("cuda")
+
+def generate_response(user_input):
+    instruction = """You are chatbot proficient in Nepalese Language."""
+    
+    messages = [
+        {"role": "system", "content": instruction},
+        {"role": "user", "content": user_input}
+    ]
+    prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+    inputs = tokenizer(prompt, return_tensors='pt', padding=True, truncation=True).to("cuda")
+    outputs = model.generate(**inputs, max_new_tokens=500, num_return_sequences=1)
+    response_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return response_text.split("assistant")[1].strip()
+
+user_query = "राणा शासनले नेपाल कसरी कब्जा गर्यो भनेर व्याख्या गर्न सक्नुहुन्छ?"
+response = generate_response(user_query)
+print("Chatbot:", response)  """
+