| 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) |
|
|
