| Parameter | Value |
|---|---|
| Algorithm | Byte-Level BPE |
| Language | ['por_Latn'] |
| Target Vocab Size | 8,000 |
| Final Vocab Size | 9,012 |
| Pre-tokenizer | custom:por_Latn |
| Number handling | ltr_3digit |
| Contraction handling | False |
| Normalizer | NFC |
| Special Tokens | <s>, </s>, <pad>, <unk> |
| Training Shards | 2, ['fineweb_2_hq.por_Latn.chunk.00.jsonl', 'fineweb_2_hq.por_Latn.chunk.01.jsonl'] |
1from transformers import AutoTokenizer
2
3tokenizer = AutoTokenizer.from_pretrained("flexitok/bpe_ltr_por_Latn_8000_v3")
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 | H, el, lo, ,, Ġw, orld, !, Ġ, 123, 45, ĠTh, is, Ġis, Ġa, Ġtest, ., Ġ, ã, ģ, ĵ | 42, 309, 496, 14, 967, 6034, 3, 223, 8021, 4333, 2616, 276, 606, 261, 1752, 16, 223, 162, 226, 244 |
['/home/gsa/tokenizers2/flexitok/tokenizer_training/train_tokenizers.py', 'algorithm=bpe', 'vocab_size=8000', 'langs=[por_Latn]', 'pretok_behavior=isolated', 'data_dir=/scratch/gsa/data/flexitok/', 'output_dir=/scratch/gsa/trained_tokenizers', 'pretokenizer=custom:por_Latn', 'number_handling=ltr_3digit', 'add_numbers=true', 'handle_contractions=false', 'unicode_normalization=nfc', 'use_byte_level_regex=false', 'byte_fallback=false', 'strip_zero_width=false', 'cjk_char_split=false', 'cjk_char_coverage=0', 'add_cjk_chars=false', 'max_han_run=-1', 'max_lines=1_000_000', 'hf.publish_to_hf=true', 'hf_repo_prefix=flexitok/', 'hf.hf_repo_id=flexitok/bpe_ltr_por_Latn_8000_v3', 'hf.collections=[flexitok/fineweb2-hq-tokenizers-v3,flexitok/8000-vocab-v3]']