| """DeepSeek V4 Flash tokenizer defaults.""" |
|
|
| from __future__ import annotations |
|
|
| from functools import lru_cache |
| import os |
| from pathlib import Path |
|
|
|
|
| DEFAULT_TOKENIZER_ID = "deepseek-ai/DeepSeek-V4-Flash-Base" |
| DEFAULT_TOKENIZER_REVISION = "8855555deef230a27a21a8d6f294b7b7497759b6" |
|
|
|
|
| @lru_cache(maxsize=4) |
| def load_tokenizer(name_or_path: str = DEFAULT_TOKENIZER_ID, *, local_files_only: bool = False): |
| from transformers import AutoTokenizer |
|
|
| requested = name_or_path |
| if requested == DEFAULT_TOKENIZER_ID: |
| candidates = [ |
| Path(os.environ["STACKBUILD_TOKENIZER_PATH"]).expanduser() |
| if "STACKBUILD_TOKENIZER_PATH" in os.environ else None, |
| Path(__file__).resolve().parents[2] / "tokenizers" / "deepseek-v4-flash-base", |
| ] |
| local = next((path for path in candidates if path is not None and path.is_dir()), None) |
| source = str(local) if local is not None else requested |
| else: |
| source = str(Path(requested).expanduser()) if Path(requested).exists() else requested |
| kwargs = {"use_fast": True, "local_files_only": local_files_only} |
| if source == DEFAULT_TOKENIZER_ID: |
| kwargs["revision"] = DEFAULT_TOKENIZER_REVISION |
| return AutoTokenizer.from_pretrained(source, **kwargs) |
|
|
