Fineweb2-HQ-Tokenizers
Collection
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UnigramLM Tokenizer: ces_Latn (32K)
A UnigramLM tokenizer trained on ces_Latn data from Fineweb-2-HQ.
Training Details
| Parameter | Value |
|---|---|
| Algorithm | UnigramLM |
| Language | ces_Latn |
| Target Vocab Size | 32,000 |
| Final Vocab Size | 0 |
| Pre-tokenizer | ByteLevel |
| Normalizer | NFC |
| Special Tokens | <s>, </s>, <pad>, <unk> |
| Training Shards | 2 |
Usage
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("flexitok/-unigram_ces_Latn_32000")
tokens = tokenizer.encode("Hello, world!")
Files
tokenizer.json— Full HuggingFace tokenizervocab.json— Vocabulary mappingtokenizer.model— SentencePiece protobuf (if available)
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