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README.md

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+---
+license: mit
+language:
+- dig
+
+tags:
+- tokenizer
+- bpe
+- flexitok
+- fineweb2
+---
+
+# Byte-Level BPE Tokenizer: ['digit'] (2K)
+
+A **Byte-Level BPE** tokenizer trained on **['digit']** data from Fineweb-2-HQ.
+
+## Training Details
+
+| Parameter | Value |
+|-----------|-------|
+| Algorithm | Byte-Level BPE |
+| Language | `['digit']` |
+| Target Vocab Size | 2,000 |
+| Final Vocab Size | 2,000 |
+| Pre-tokenizer | custom:addition |
+| Number handling | learned |
+| Contraction handling | False |
+| Normalizer | NFC |
+| Special Tokens | `<s>`, `</s>`, `<pad>`, `<unk>` |
+| Training Shards | 2 |
+
+## Usage
+
+```python
+from transformers import AutoTokenizer
+
+tokenizer = AutoTokenizer.from_pretrained("flexitok/maddition_digit_2000")
+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 |
+|------|--------|-----------|
+| `yirmi iki+dokuz=otuz bir\ntwenty two+nine=thirty one` | `y, i, r, m, i, Ġ, i, k, i, +, d, o, k, u, z, =, o, t, u, z` | `91, 75, 84, 79, 75, 223, 75, 77, 75, 3, 70, 81, 77, 87, 92, 4, 81, 86, 87, 92` |

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special_tokens_map.json

@@ -0,0 +1,9 @@
+{
+  "additional_special_tokens": [
+    "+",
+    "="
+  ],
+  "bos_token": "<s>",
+  "eos_token": "</s>",
+  "pad_token": "<pad>"
+}

tokenizer_config.json

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