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README.md

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+---
+license: mit
+language:
+- ces  # ISO 639-3 code or "und" if not identifiable
+tags:
+- tokenizer
+- bpe
+- flexitok
+- fineweb2
+---
+
+# Byte-Level BPE Tokenizer: ces_Latn (16K)
+
+A **Byte-Level BPE** tokenizer trained on **ces_Latn** data from Fineweb-2-HQ.
+
+## Training Details
+
+| Parameter | Value |
+|-----------|-------|
+| Algorithm | Byte-Level BPE |
+| Language | `ces_Latn` |
+| Target Vocab Size | 16,000 |
+| Final Vocab Size | 16,968 |
+| Pre-tokenizer | custom:ces_Latn |
+| Number handling | ltr_3digit |
+| Contraction handling | True |
+| Normalizer | NFC |
+| Special Tokens | `<s>`, `</s>`, `<pad>`, `<unk>` |
+| Training Shards | 2 |
+
+## Usage
+
+```python
+from transformers import AutoTokenizer
+
+tokenizer = AutoTokenizer.from_pretrained("flexitok/bpe_script_Slav_16000")
+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, el, lo, ,, Ġw, orld, !, Ġ, 123, 45, ĠT, his, Ġis, Ġa, Ġtest, ., Ġ, ãģ, ĵ, ã` | `42, 632, 309, 14, 979, 7600, 3, 223, 16023, 4157, 390, 6444, 2780, 272, 2445, 16, 223, 9188, 244, 162` |

special_tokens_map.json

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