Update README.md

README.md

@@ -149,27 +149,29 @@ datasets:
 
 # How to use 
 
-  You can use it with a script
-
-  model, tokenizer = FastLanguageModel.from_pretrained(
-        model_name="CineAI/Llama32-3B-CoT",
-        max_seq_length=max_length,
-        dtype=dtype,
-        load_in_4bit=load_in_4bit
-    )
-
-  FastLanguageModel.for_inference(model)
-
-  inputs = tokenizer.apply_chat_template(
-      message,
-      tokenize = True,
-      add_generation_prompt = True, # Must add for generation
-      return_tensors = "pt",
-  ).to(device)
-
-  text_streamer = TextStreamer(tokenizer, skip_prompt = True)
-  _ = model.generate(input_ids = inputs, streamer = text_streamer, max_new_tokens = max_new_tokens,
-                    use_cache = True, temperature = temperature, min_p = min_p)
+You can use it with a script
+  
+```python
+model, tokenizer = FastLanguageModel.from_pretrained(
+      model_name="CineAI/Llama32-3B-CoT",
+      max_seq_length=max_length,
+      dtype=dtype,
+      load_in_4bit=load_in_4bit
+  )
+
+FastLanguageModel.for_inference(model)
+
+inputs = tokenizer.apply_chat_template(
+    message,
+    tokenize = True,
+    add_generation_prompt = True, # Must add for generation
+    return_tensors = "pt",
+).to(device)
+
+text_streamer = TextStreamer(tokenizer, skip_prompt = True)
+_ = model.generate(input_ids = inputs, streamer = text_streamer, max_new_tokens = max_new_tokens,
+                  use_cache = True, temperature = temperature, min_p = min_p)
+```
 
 # Uploaded  model