Sigurdur/ice-tokenizer

Icelandic Tokenizer README

Overview

This BPE (Byte Pair Encoding) tokenizer is designed for the Icelandic GPT model, available at Sigurdur/ice-gpt. Trained on the Icelandic Gigaword Corpus ({IGC}-2022) - annotated version, it excels in accurately segmenting Icelandic text into meaningful tokens.

Usage

Integrate this tokenizer into your NLP pipeline for preprocessing Icelandic text. The following example demonstrates basic usage:

from transformers import GPT2Tokenizer

# Load the tokenizer
tokenizer = GPT2Tokenizer.from_pretrained("Sigurdur/ice-tokenizer")
tokenizer.pad_token_id = tokenizer.eos_token_id

tokenizer("Halló heimur!")["input_ids"]

Citation

If you use this tokenizer in your work, please cite the original source of the training data:

@misc{20.500.12537/254,
  title = {Icelandic Gigaword Corpus ({IGC}-2022) - annotated version},
  author = {Barkarson, Starkaður and Steingrímsson, Steinþór and Andrésdóttir, Þórdís Dröfn and Hafsteinsdóttir, Hildur and Ingimundarson, Finnur Ágúst and Magnússon, Árni Davíð},
  url = {http://hdl.handle.net/20.500.12537/254},
  note = {{CLARIN}-{IS}},
  year = {2022}
}

Feedback

We welcome user feedback to enhance the tokenizer's functionality. Feel free to reach out with your insights and suggestions.

Happy tokenizing!

Sigurdur Haukur Birgisson

(readme created with chatgpt)