UnigramLM Tokenizer: cmn_Hani (64K)
A UnigramLM tokenizer trained on cmn_Hani data from Fineweb-2-HQ.
Training Details
| Parameter | Value |
|---|---|
| Algorithm | UnigramLM |
| Language | cmn_Hani |
| Target Vocab Size | 64,000 |
| Final Vocab Size | 0 |
| Pre-tokenizer | ByteLevel |
| Normalizer | NFC |
| Special Tokens | <s>, </s>, <pad>, <unk> |
| Training Shards | 2 |
| Data Source | /scratch/gsa/data/flexitok//cmn_Hani/ |
Usage
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("<repo_id>")
tokens = tokenizer.encode("Hello, world!")
Files
tokenizer.jsonโ Full HuggingFace tokenizervocab.jsonโ Vocabulary mappingtokenizer.modelโ SentencePiece protobuf (if available)
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