Update README.md

README.md

@@ -25,10 +25,9 @@ import torch
 from peft import PeftModel, PeftConfig
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-peft_model_id = "hackathon-somos-nlp-2023/bertin-gpt-j-6B-es-finetuned-salpaca"
+peft_model_id = "hackathon-somos-nlp-2023/salsapaca-native"
 config = PeftConfig.from_pretrained(peft_model_id)
 model = AutoModelForCausalLM.from_pretrained(config.base_model_name_or_path, return_dict=True, load_in_8bit=True, device_map='auto')
-# tokenizer = AutoTokenizer.from_pretrained(config.base_model_name_or_path)
 tokenizer = AutoTokenizer.from_pretrained(peft_model_id)
 
 # Load the Lora model