Update README.md

remove redundant content

README.md

@@ -40,7 +40,6 @@ Example code to generate with the model
 from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
 
 # Load the model and tokenizer
-# model_path = "/share/shmatikov/collin/refusal_direction/model/DeepSeek-R1-Distill-Llama-8B-abliterate"
 model_path = "collinzrj/DeepSeek-R1-Distill-Llama-8B-abliterate"
 tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)
 model = AutoModelForCausalLM.from_pretrained(model_path, trust_remote_code=True).to('cuda')
@@ -51,7 +50,6 @@ messages = [
 
 # Prepare the input for generation
 input_ids = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors='pt').to('cuda')
-# input_ids = tokenizer.encode(input_text, return_tensors='pt').to('cuda')
 
 streamer = TextStreamer(tokenizer)