bp-tokenizer 1.0.0

A high-performance Python tokenizer using Byte-Pair Encoding (BPE) with 100k vocabulary, supporting text encoding, decoding, and normalization for NLP applications.

BPE Tokenizer

bpe_tokenizer is a high-performance Python tokenizer based on Byte-Pair Encoding (BPE). It supports a 100k vocabulary, efficient text encoding/decoding, batch processing, and basic text normalization. It is designed for NLP applications, preprocessing pipelines, or any project that requires custom tokenization.

Features

• Efficient Encoding: Encode text into token IDs using BPE.

• Decoding: Decode token IDs back to human-readable text.

• Batch Processing: Support for encoding multiple texts at once.

• Special Tokens: Built-in support for <UNK>, <BOS>, and <EOS>.

• Large Vocabulary: Supports a vocabulary size of up to 100,000 tokens.

• Normalization: Basic text normalization (lowercasing, punctuation removal).

• Sentence Splitting: Simple utilities to split text into sentences.

Installation

You can install directly from PyPI :

pip install bpe_tokenizer

Quick Start

Import and Initialize

from bpe_tokenizer import Tokenizer

# Initialize tokenizer
tokenizer = Tokenizer()

Encode a Single Text

text = "Hello world!"
encoded = tokenizer.encode(text)
print("Encoded:", encoded)

Output:

Encoded: [72, 9257, 1295, 33]

Decode Token IDs

decoded = tokenizer.decode(encoded)
print("Decoded:", decoded)

Output:

Decoded: Hello world!

Encode a Batch of Texts

texts = ["Hello world!", "Byte-Pair Encoding example."]
encoded_batch = tokenizer.encode_batch(texts)
print("Batch Encoded:", encoded_batch)

Output:

Batch Encoded: [[72, 9257, 1295, 33], [66, 121, 507, 45, 80, 937, 18258, 16022, 2461, 46]]

Additional Utilities

# Get number of tokens in a text
print(tokenizer.token_count("Hello world!"))

# Normalize text
print(tokenizer.normalize_text("Hello, World!!!", lower=True, remove_punct=True))

# Split text into words/punctuation
print(tokenizer.tokenize("Hello, world! How are you?"))

Special Tokens

These tokens are used internally to handle unknown tokens or sequence markers.

Token	ID	Description
<BOS>	256	Beginning of Sequence
<EOS>	257	End of Sequence
<UNK>	258	Unknown Token

Contributing

If you want to improve bpe_tokenizer:

1. Fork the repository.

2. Make your changes.

3. Submit a pull request with a clear description.

License

This project is licensed under the MIT License – see the LICENSE file for details.