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1from peft import PeftModel
2from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
3
4base_model = AutoModelForSeq2SeqLM.from_pretrained('google/switch-base-64', use_safetensors=False)
5lora_model = PeftModel.from_pretrained(base_model, 'marsggbo/wmt-switch-base-64-lora-ckpt30000')
6merged_model = lora_model.merge_and_unload()
7merged_model.save_pretrained('./switch-base-64-wmt', state_dict=merged_model.state_dict(), safe_serialization=False)model = AutoModelForSeq2SeqLM.from_pretrained('./switch-base-64-wmt')