NyayaLM 64K Tokenizer
Domain-specific bilingual (Nepali + English) SentencePiece-BPE tokenizer for the NyayaLM-200M legal-domain language model.
- Vocab size: 64 000
- Algorithm: SentencePiece BPE + byte_fallback
- Special tokens: Qwen3 / ChatML style (high IDs)
- EOS:
<|im_end|> - PAD:
<|endoftext|> - Chat template: Qwen3-compatible
Quick use
from transformers import AutoTokenizer
tok = AutoTokenizer.from_pretrained("YOUR_HF_REPO")
print(tok.apply_chat_template(
[{'role': "user", "content": "नेपालको संविधान के हो?"}],
tokenize=False,
add_generation_prompt=True,
))
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