Update README.md

README.md

@@ -70,9 +70,9 @@ 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:
+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>/': "
+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: