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README.md

@@ -68,25 +68,25 @@ BLING has not been designed for end consumer-oriented applications, and there ha
 ## How to Get Started with the Model
 
 The fastest way to get started with BLING is through direct import in transformers:
-
+```
 from transformers import AutoTokenizer, AutoModelForCausalLM  
 tokenizer = AutoTokenizer.from_pretrained("llmware/bling-1.4b-0.1")  
 model = AutoModelForCausalLM.from_pretrained("llmware/bling-1.4b-0.1")  
-
+```
 
 The BLING model was fine-tuned with a simple "\<human> and \<bot> wrapper", so to get the best results, wrap inference entries as:
-
+```
 full_prompt = "\<human>\: " + my_prompt + "\n" + "\<bot>\: "
-
+```
 The BLING model was fine-tuned with closed-context samples, which assume generally that the prompt consists of two sub-parts:
 
 1.  Text Passage Context, and
 2.  Specific question or instruction based on the text passage
 
 To get the best results, package "my_prompt" as follows:
-
+```
 my_prompt = {{text_passage}} + "\n" + {{question/instruction}}
-
+```
 
 ## Citation [optional]