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a86e230 7adffc3 a86e230 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | import argparse
import json
from pathlib import Path
from huggingface_hub import snapshot_download
from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer
def load_adapter(subfolder, revision=None):
repo_id = 'SJTUFreshman/collaborativelearning'
tokenizer_folder = str(Path(subfolder).parent).replace('\\', '/') if subfolder.endswith('/policy_adapter') else subfolder
snapshot = snapshot_download(repo_id, revision=revision, allow_patterns=[subfolder+'/*', tokenizer_folder+'/tokenizer*', tokenizer_folder+'/chat_template.jinja', tokenizer_folder+'/special_tokens_map.json'])
adapter_dir = Path(snapshot)/subfolder
config = json.loads((adapter_dir/'adapter_config.json').read_text())
tokenizer = AutoTokenizer.from_pretrained(Path(snapshot)/tokenizer_folder)
base = AutoModelForCausalLM.from_pretrained(config['base_model_name_or_path'], torch_dtype='auto', device_map='auto')
model = PeftModel.from_pretrained(base, adapter_dir)
return model, tokenizer
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('subfolder')
parser.add_argument('--revision')
args = parser.parse_args()
model, tokenizer = load_adapter(args.subfolder, args.revision)
print('Loaded', args.subfolder)
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