Update README.md

README.md

@@ -77,7 +77,6 @@ tokenizer = AutoTokenizer.from_pretrained(peft_model_id)
 
 # Load the Lora model
 tuned_model = PeftModel.from_pretrained(base_model, peft_model_id)
-#original_model = PeftModel.from_pretrained(base_model, "project-baize/baize-lora-7B")
 
 def generate(text):
   stt = time.time()
@@ -170,7 +169,6 @@ Ask2Democracy-cfqa-salud-pension dataset was formated like this::
 def format_ds(example):
   example["text"] =  (
     "Given the Context answer the Question. Answers must be source based, use topics to elaborate on the Response if they're provided."
-    #"Answer the question and use any available context or related topics if they are available"
     + " Question: '{}'".format(example['input'].strip())
     + " Context: {}".format(example['instruction'].strip())
     + " Topics: {}".format(example['topics'])
@@ -179,7 +177,4 @@ def format_ds(example):
   return example
 ```
 
-
-
-
 More details can be found in the Ask2Democracy [GitHub](https://github.com/jorge-henao/ask2democracy)