Fineweb2-HQ-Tokenizers
Collection
191 items • Updated
UnigramLM Tokenizer: ell_Grek (64K)
A UnigramLM tokenizer trained on ell_Grek data from Fineweb-2-HQ.
Training Details
| Parameter | Value |
|---|---|
| Algorithm | UnigramLM |
| Language | ell_Grek |
| 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//ell_Grek/ |
Usage
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("<repo_id>")
tokens = tokenizer.encode("Hello, world!")
Files
tokenizer.json— Full HuggingFace tokenizervocab.json— Vocabulary mappingtokenizer.model— SentencePiece protobuf (if available)
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support