Create README.md

README.md

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+
+Usage
+
+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})