Xhosa Paraphraser (Test Model) - Nqaba/xhosa-paraphraser-0

This repository hosts a preliminary Xhosa paraphrasing model, Nqaba/xhosa-paraphraser-0, developed as an interim solution for testing application workflows. This model is a placeholder until the final version is built and fine-tuned for optimal performance.

Purpose

The purpose of this model is to:

• Provide a working prototype for integrating paraphrasing capabilities into applications.
• Allow developers and testers to simulate workflows before the final model is deployed.
• Identify potential improvements and refine the paraphrasing pipeline.

Model Details

• Language: Xhosa
• Type: Paraphraser
• Version: Prototype (not final)
• Usage: Designed for internal testing of text transformation workflows.

Usage

To use this model in your Hugging Face pipeline:

from transformers import pipeline

paraphraser = pipeline("text2text-generation", model="Nqaba/xhosa-paraphraser-0")

text = "Umtshato ubalulekile kubantu baseXhosa."
paraphrased_text = paraphraser(text)

print(paraphrased_text)

Limitations

• This is not the final model; outputs may be inconsistent or unoptimized.
• The model is primarily for testing workflow integration, not for production use.
• Performance and accuracy will improve in future versions.

Future Development

• Fine-tuning on a high-quality Xhosa corpus for better paraphrasing accuracy.
• Optimization for real-world applications.
• Integration into the final deployment pipeline.

Contributions & Feedback

Since this is a test model, feedback on workflow integration and paraphrasing performance is welcome. Please report any issues or suggestions in the discussion section of the repository.

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Developed by: Jeorge Manuel License: mit