標籤	用途
`<ipa-lexicon_BLOCK>` `</ipa-lexicon_BLOCK>`	IPA 詞條區塊
`<ipa-syllable_BLOCK>` `</ipa-syllable_BLOCK>`	IPA 音節區塊
`<lexicon-ipa_BLOCK>` `</lexicon-ipa_BLOCK>`	詞條轉 IPA 區塊
`<lexicon-syllable_BLOCK>` `</lexicon-syllable_BLOCK>`	詞條轉音節區塊
`<syllable-ipa_BLOCK>` `</syllable-ipa_BLOCK>`	音節轉 IPA 區塊
`<syllable-lexicon_BLOCK>` `</syllable-lexicon_BLOCK>`	音節轉詞條區塊
`<SCENE>` `</SCENE>`	對話場景區塊
`<LEX_BLOCK>` `</LEX_BLOCK>`	詞條解釋區塊

🚀 使用方法

基本載入

python

from transformers import AutoTokenizer, AutoModelForCausalLM
import torch

model_path = "Yvthyvq/Liujgoj-Cantonese-gemma-4-12B-it-cpt"

tokenizer = AutoTokenizer.from_pretrained(model_path)
model = AutoModelForCausalLM.from_pretrained(
    model_path,
    torch_dtype=torch.bfloat16,
    device_map="auto"
)

🤝 數據集致謝與許可協議 / Dataset Acknowledgements & Licenses

中文與社區許可協議

本模型在增量預訓練（CPT）部分使用了 OpenCSG/Fineweb-Edu-Chinese 數據集。在此特別感謝 OpenCSG 開源社區提供的優質教育語料。本模型的衍生、分發與使用將嚴格遵循 OpenCSG 模型社區許可協議。

English & Global Dataset Acknowledgement

Part of the continued pre-training (CPT) data used in this model is derived from the HuggingFaceFW/fineweb-edu dataset. We are grateful to the Hugging Face vLLM/FW team for providing this high-quality dataset under the MIT license.