--- license: mit language: - dan tags: - tokenizer - bpe - flexitok - fineweb2 --- # Byte-Level BPE Tokenizer: ['dan_Latn'] (8K) A **Byte-Level BPE** tokenizer trained on **['dan_Latn']** data from Fineweb-2-HQ. ## Training Details | Parameter | Value | |-----------|-------| | Algorithm | Byte-Level BPE | | Language | `['dan_Latn']` | | Target Vocab Size | 8,000 | | Final Vocab Size | 9,026 | | Pre-tokenizer | custom:dan_Latn | | Number handling | ltr_3digit | | Contraction handling | False | | Normalizer | NFC | | Special Tokens | ``, ``, ``, `` | | Training Shards | 2, ['fineweb_2_hq.dan_Latn.chunk.00.jsonl', 'fineweb_2_hq.dan_Latn.chunk.01.jsonl'] | ## Usage ```python from transformers import AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("flexitok/bpe_ltr_dan_Latn_8000_v3") tokens = tokenizer.encode("Hello, world!") ``` ## Files - `tokenizer.json` — Full HuggingFace tokenizer - `vocab.json` — Vocabulary mapping - `merges.txt` — BPE merge rules ## Sample Encoding | Text | Tokens | Token IDs | |------|--------|-----------| | `Hello, world! 12345 This is a test. こんにちは` | `H, ell, o, ,, Ġw, orld, !, Ġ, 123, 45, ĠTh, is, Ġis, Ġa, Ġtest, ., Ġ, ãģ, ĵ, ã` | `42, 1296, 81, 14, 819, 4381, 3, 223, 8299, 3911, 1898, 317, 998, 263, 1921, 16, 223, 7421, 244, 162` | Command used to create this tokenizer: ```bash ['/home/gsa/tokenizers2/flexitok/tokenizer_training/train_tokenizers.py', 'algorithm=bpe', 'vocab_size=8000', 'langs=[dan_Latn]', 'pretok_behavior=isolated', 'data_dir=/scratch/gsa/data/flexitok/', 'output_dir=/scratch/gsa/trained_tokenizers', 'pretokenizer=custom:dan_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_dan_Latn_8000_v3', 'hf.collections=[flexitok/fineweb2-hq-tokenizers-v3,flexitok/8000-vocab-v3]']