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README.md

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+---
+license: mit
+language:
+- fra
+- ita
+- por
+- spa #['fra_Latn', 'ita_Latn', 'por_Latn', 'spa_Latn']  # ISO 639-3 code or "und" if not identifiable
+tags:
+- tokenizer
+- bpe
+- flexitok
+- fineweb2
+---
+
+# Byte-Level BPE Tokenizer: ['fra_Latn', 'ita_Latn', 'por_Latn', 'spa_Latn'] (32K)
+
+A **Byte-Level BPE** tokenizer trained on **['fra_Latn', 'ita_Latn', 'por_Latn', 'spa_Latn']** data from Fineweb-2-HQ.
+
+## Training Details
+
+| Parameter | Value |
+|-----------|-------|
+| Algorithm | Byte-Level BPE |
+| Language | `['fra_Latn', 'ita_Latn', 'por_Latn', 'spa_Latn']` |
+| Target Vocab Size | 32,000 |
+| Final Vocab Size | 32,871 |
+| Pre-tokenizer | custom:fra_Latn |
+| Number handling | ltr_3digit |
+| Contraction handling | True |
+| Normalizer | NFC |
+| Special Tokens | `<s>`, `</s>`, `<pad>`, `<unk>` |
+| Training Shards | 8 |
+
+## Usage
+
+```python
+from transformers import AutoTokenizer
+
+tokenizer = AutoTokenizer.from_pretrained("flexitok/bpe_script_Roma_32000")
+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, ello, ,, Ġworld, !, Ġ, 123, 45, ĠThis, Ġis, Ġa, Ġtest, ., Ġ, ãģ, ĵ, ãĤ, ĵ, ãģ, «` | `42, 2110, 14, 25291, 3, 223, 22415, 4328, 17636, 1008, 267, 3037, 16, 223, 8090, 244, 14187, 244, 8090, 107` |

special_tokens_map.json

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+{
+  "bos_token": "<s>",
+  "eos_token": "</s>",
+  "pad_token": "<pad>"
+}