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https://github.com/hiyouga/LLaMA-Factory.git
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37 lines
1.2 KiB
Python
37 lines
1.2 KiB
Python
# Test Template Encode
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# Usage: python .\tests\template_encode.py --model_name_and_path D:\llm\chinese-alpaca-2-7b
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# --template llama2_zh --query 'how are you?'
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# --history '[[\"Hello!\",\"Hi，I am llama2.\"]]'
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import sys
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import fire
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from typing import List, Optional, Tuple
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from transformers import AutoTokenizer
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sys.path.append("./src")
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from llmtuner.extras.template import get_template_and_fix_tokenizer
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def encode(
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model_name_and_path: str,
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template: str,
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query: str,
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resp: Optional[str] = "",
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history: Optional[List[Tuple[str, str]]] = None,
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system: Optional[str] = None):
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tokenizer = AutoTokenizer.from_pretrained(
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model_name_and_path,
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trust_remote_code=True
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)
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template = get_template_and_fix_tokenizer(template, tokenizer)
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encoded_pairs = template.encode_multiturn(tokenizer, query, resp, history, system)
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for prompt_ids, answer_ids in encoded_pairs:
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print("="*50)
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print("prompt_ids: {}, answer_ids: {}".format(prompt_ids, answer_ids))
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print("prompt decode: {}".format(tokenizer.decode(prompt_ids)))
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if __name__ == '__main__':
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fire.Fire(encode)
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