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OpenFormosa/PangolinTokenizer

sourceHugging Faceotherupdated 4mo agoView on Hugging Face

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PangolinTokenizer

Byte-level BPE tokenizer for Traditional Chinese, Taiwan text, multilingual text, rich transcription, OCR-style text, and generic control formats.

This revision adds the Open Formosa required control tokens as special tokens. The base BPE vocabulary size remains 114,688. The effective tokenizer length, including added special tokens, is 114,822.

Usage

python

from transformers import AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained(
    "voidful/PangolinTokenizer",
    trust_remote_code=False,
)

text = "<|system|>台灣健保與注音ㄅㄆㄇ，Tailo: Tâi-uân"
ids = tokenizer.encode(text)
decoded = tokenizer.decode(ids)

Open Formosa Compatibility

—Required special tokens present: 157
—Required special tokens encode as single IDs: yes
—Standard special tokens: <unk>, <s>, </s>, <pad>
—Model max length metadata: 131,072
—trust_remote_code: not required
—No discrete audio codec token ranges are included.
—No dense timestamp token ranges are included.