---
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:
```python
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