Update README.md

README.md

@@ -17,7 +17,7 @@ pipeline_tag: text-generation
 import torch
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-# 🏆 **Model Name on Hugging Face**
+# **Model Name on Hugging Face**
 MODEL_NAME = "Vijayendra/DeepSeek-Llama3.1-8B-DeepThinker-v1"
 
 # 🛠 **Load Model & Tokenizer from Hugging Face**
@@ -52,14 +52,14 @@ def generate_response(model, tokenizer, prompt, max_new_tokens=2048, temperature
     # Decode response
     return tokenizer.decode(generated_tokens[0], skip_special_tokens=True)
 
-# 🏆 **Test Questions**
+# **Test Questions**
 questions = [
     "What happened yesterday?",
     "If an unstoppable force hits an immovable object, what happens?",
     "The sun orbits the Earth once every 365 days. Is this true?"
 ]
 
-# 🏆 **Generate and Print Responses**
+# **Generate and Print Responses**
 for i, question in enumerate(questions, 1):
     response = generate_response(model, tokenizer, question)
     print(f"\n🟢 Question {i}: {question}")