Source code for espnet2.bin.hugging_face_export_vocabulary

#!/usr/bin/env python3
import argparse
import logging
import sys
from pathlib import Path
from typing import List

from typeguard import check_argument_types

from espnet.utils.cli_utils import get_commandline_args

    from transformers import AutoTokenizer

    is_transformers_available = True
except ImportError:
    is_transformers_available = False

[docs]def export_vocabulary( output: str, model_name_or_path: str, log_level: str, add_symbol: List[str], ): assert check_argument_types() if not is_transformers_available: raise ImportError( "`transformers` is not available. Please install it via `pip install" " transformers` or `cd /path/to/espnet/tools && . ./" " && ./installers/`." ) logging.basicConfig( level=log_level, format="%(asctime)s (%(module)s:%(lineno)d) %(levelname)s: %(message)s", ) if output == "-": fout = sys.stdout else: p = Path(output) p.parent.mkdir(parents=True, exist_ok=True) fout ="w", encoding="utf-8") tokenizer = AutoTokenizer.from_pretrained(model_name_or_path) words = ["" for _ in range(tokenizer.vocab_size)] vocab = tokenizer.get_vocab() for w in vocab: if vocab[w] < tokenizer.vocab_size: # pythia tokenizer words[vocab[w]] = w # Parse the values of --add_symbol for symbol_and_id in add_symbol: # e.g symbol="<blank>:0" try: symbol, idx = symbol_and_id.split(":") idx = int(idx) except ValueError: raise RuntimeError(f"Format error: e.g. '<blank>:0': {symbol_and_id}") symbol = symbol.strip() # e.g. idx=0 -> append as the first symbol # e.g. idx=-1 -> append as the last symbol if idx < 0: idx = len(words) + 1 + idx words.insert(idx, symbol) # Write words for w in words: fout.write(w + "\n")
[docs]def get_parser() -> argparse.ArgumentParser: parser = argparse.ArgumentParser( description="Export Hugging Face vocabulary", formatter_class=argparse.ArgumentDefaultsHelpFormatter, ) parser.add_argument( "--log_level", type=lambda x: x.upper(), default="INFO", choices=("CRITICAL", "ERROR", "WARNING", "INFO", "DEBUG", "NOTSET"), help="The verbose level of logging", ) parser.add_argument( "--output", "-o", required=True, help="Output text. - indicates sys.stdout" ) parser.add_argument( "--model_name_or_path", type=str, required=True, help="Hugging Face model name or path", ) parser.add_argument( "--add_symbol", type=str, default=[], action="append", help="Append symbol e.g. --add_symbol '<blank>:0' --add_symbol '<unk>:1'", ) return parser
[docs]def main(cmd=None): print(get_commandline_args(), file=sys.stderr) parser = get_parser() args = parser.parse_args(cmd) kwargs = vars(args) export_vocabulary(**kwargs)
if __name__ == "__main__": main()