Swahili English Translation

🚀 Swahili-English Translation Model

This model is designed to handle translations between Swahili, one of Africa's most spoken languages, and English, leveraging the Transformer architecture for effective results.

🚀 Quick Start

To start using the Swahili-English translation model, you can use a pipeline as a high - level helper. Here is a simple example:

from transformers import pipeline

# Initialize the translation pipeline
translator = pipeline("translation", model="Bildad/Swahili-English_Translation")

# Translate text
translation = translator("Habari yako?")[0]
translated_text = translation["translation_text"]

print(translated_text)

✨ Features

• Capable of bidirectional translation between Swahili and English.
• Trained on a diverse dataset sourced from OPUS to ensure high - quality translations.

📦 Installation

The README doesn't provide specific installation steps, so this section is skipped.

💻 Usage Examples

Basic Usage

from transformers import pipeline

# Initialize the translation pipeline
translator = pipeline("translation", model="Bildad/Swahili-English_Translation")

# Translate text
translation = translator("Habari yako?")[0]
translated_text = translation["translation_text"]

print(translated_text)

Advanced Usage

There is no advanced usage example in the original README, so this part is not added.

📚 Documentation

Model Details

Model Description

This Swahili - English translation model was developed to handle translations between Swahili, one of Africa's most spoken languages, and English. It was trained on a diverse dataset sourced from OPUS, leveraging the Transformer architecture for effective translation.

Training Data

The model was fine - tuned on the following datasets:

• WikiMatrix:

  • Package: WikiMatrix.en - sw in Moses format
  • License: [CC - BY - SA 4.0](https://creativecommons.org/licenses/by - sa/4.0/legalcode)
  • Citation: Holger Schwenk et al., WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia, arXiv, July 2019.

• ParaCrawl:

  • Package: ParaCrawl.en - sw in Moses format
  • License: CC0
  • Acknowledgement: Please acknowledge the ParaCrawl project at ParaCrawl.

• TICO - 19:

  • Package: tico - 19.en - sw in Moses format
  • License: [CC0](https://tico - 19.github.io/LICENSE.md)
  • Citation: J. Tiedemann, 2012, Parallel Data, Tools, and Interfaces in OPUS.

📄 License

This model is distributed under the MIT License.