| Parameter | Value |
|---|---|
| Algorithm | UnigramLM |
| Language | rus_Cyrl |
| Target Vocab Size | 16,000 |
| Final Vocab Size | 0 |
| Pre-tokenizer | ByteLevel |
| Normalizer | NFC |
| Special Tokens | <s>, </s>, <pad>, <unk> |
| Training Shards | 2 |
| Data Source | /scratch/gsa/data/flexitok//rus_Cyrl/ |
1from transformers import AutoTokenizer
2
3tokenizer = AutoTokenizer.from_pretrained("<repo_id>")
4tokens = tokenizer.encode("Hello, world!")tokenizer.json — Full HuggingFace tokenizervocab.json — Vocabulary mappingtokenizer.model — SentencePiece protobuf (if available)