metadata

license: mit
language:
  - xh
base_model:
  - google/mt5-base

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.

Developed by: Jeorge Manuel License: mit