High-performance Rust acceleration for ALTA Tokenizer (Kinyarwanda BPE)

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  • License: MIT License (MIT)
  • Author: Yali Labs
  • Tags tokenizer , bpe , kinyarwanda , rust , nlp
  • Requires: Python >=3.9
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Project description

kin-merge

High-performance Rust acceleration for ALTA Tokenizer — a BPE tokenizer for Kinyarwanda.

This package provides optional Rust-powered functions for faster BPE training, encoding, and text preprocessing. It is automatically used by alta_tokenizer when installed.

Installation

pip install kin-merge

Or install with the main tokenizer:

pip install altatokenizer[fast]

What it accelerates

Operation Function Speedup
BPE merge loop rust_bpe_train_loop, RustBpeTrainer.step 3–5x
File streaming + pretokenization rust_stream_pretokenize_file Memory-efficient
Text encoding rust_encode_text_raw_batch 4–5x
Text preprocessing rust_preprocess_text 3–5x
Pair counting rust_count_pairs Parallel via Rayon

Usage

You don't need to import kin_merge directly. Once installed, alta_tokenizer detects it automatically and uses the Rust functions where available. If not installed, the tokenizer falls back to pure Python.

License

MIT

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  • License: MIT License (MIT)
  • Author: Yali Labs
  • Tags tokenizer , bpe , kinyarwanda , rust , nlp
  • Requires: Python >=3.9
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0.3.1

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