code md

README.md

@@ -20,7 +20,7 @@ batch_size=80,
 gradient_accumulation_steps=16
 
 ------ EXAMPLE USAGE ---
-
+```
 from transformers import AutoModelForCausalLM, AutoTokenizer, GenerationConfig
 
 model = AutoModelForCausalLM.from_pretrained('roneneldan/TinyStories-33M')
@@ -38,4 +38,5 @@ output = model.generate(input_ids, max_length = 1000, num_beams=1)
 output_text = tokenizer.decode(output[0], skip_special_tokens=True)
 
 # Print the generated text
-print(output_text)
+print(output_text)
+```