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README.md

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+---
+license: mit
+language:
+- ind  # ISO 639-3 code or "und" if not identifiable
+tags:
+- tokenizer
+- bpe
+- flexitok
+- fineweb2
+---
+
+# Byte-Level BPE Tokenizer: ind_Latn (16K)
+
+A **Byte-Level BPE** tokenizer trained on **ind_Latn** data from Fineweb-2-HQ.
+
+## Training Details
+
+| Parameter | Value |
+|-----------|-------|
+| Algorithm | Byte-Level BPE |
+| Language | `ind_Latn` |
+| Target Vocab Size | 16,000 |
+| Final Vocab Size | 16,961 |
+| Pre-tokenizer | custom:ind_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_SEAS_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, ello, ,, Ġw, orld, !, Ġ, 123, 45, ĠThis, Ġis, Ġa, Ġtest, ., Ġ, ãģ, ĵ, ãĤ, ĵ, ãģ` | `42, 15107, 14, 429, 4639, 3, 223, 16038, 4529, 13915, 1153, 395, 7029, 16, 223, 9732, 244, 15716, 244, 9732` |

special_tokens_map.json

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