Update README.md

README.md

@@ -33,22 +33,4 @@ This model is a fine-tuned (with Lora and peft) version of [google/flan-t5-xxl](
 - Pytorch 1.13.1+cu117
 - Datasets 2.9.0
 - Peft
-- Loralib
-
-### Usage
-```py
->>> import torch
->>> from peft import PeftModel, PeftConfig
->>> from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
-
-##### Load peft config for pre-trained checkpoint etc.
->>> peft_model_id = "results"
->>> config = PeftConfig.from_pretrained(peft_model_id)
-
-##### load base LLM model and tokenizer
->>> model = AutoModelForSeq2SeqLM.from_pretrained(config.base_model_name_or_path,  load_in_8bit=True,  device_map={"":0})
->>> tokenizer = AutoTokenizer.from_pretrained(config.base_model_name_or_path)
-
-##### Load the Lora model
->>> model = PeftModel.from_pretrained(model, peft_model_id, device_map={"":0})
-```
+- Lora