| Parameter | Value |
|---|---|
| Algorithm | Byte-Level BPE |
| Language | ['fw_edu'] |
| Target Vocab Size | 32,000 |
| Final Vocab Size | 32,000 |
| Pre-tokenizer | sentencepiece |
| Number handling | learned |
| Contraction handling | False |
| Normalizer | NFC |
| Special Tokens | <s>, </s>, <pad>, <unk> |
| Training Shards | 2, ['fineweb_edu_10bt.chunk.00.jsonl', 'fineweb_edu_10bt.chunk.01.jsonl'] |
1from transformers import AutoTokenizer
2
3tokenizer = AutoTokenizer.from_pretrained("None")
4tokens = tokenizer.encode("Hello, world!")tokenizer.json — Full HuggingFace tokenizervocab.json — Vocabulary mappingmerges.txt — BPE merge rules| Text | Tokens | Token IDs |
|---|---|---|
Hello, world! 12345 This is a test. こんにちは | ▁Hell, o,, ▁world, !, ▁12, 3, 45, ▁This, ▁is, ▁a, ▁test., ▁, こ, ん, に, ち, は | 29987, 16984, 16629, 5, 17468, 23, 21086, 16370, 16032, 15979, 31029, 4548, 5337, 5401, 5361, 5351, 5365 |
['/home/gsa/tokenizers2/flexitok/tokenizer_training/train_tokenizers.py', 'algorithm=bpe', 'vocab_size=32_000', 'langs=[fw_edu]', 'data_dir=/scratch/gsa/data/toklens/tokenizer-training/', 'output_dir=/scratch/gsa/trained_tokenizers/toklens-sentencepiece', 'pretokenizer=sentencepiece', 'number_handling=learned', 'handle_contractions=false', 'unicode_normalization=nfc', 'use_byte_level_regex=false', 'strip_zero_width=false', 'max_lines=-1', 'hf.publish_to_hf=true']