---
language:
- lag
- swh
tags:
- madlad400
- Translation
model_type: Translation
library_name: transformers
pipeline_tag: translation
---

# madlad400-finetuned-lag-swh

This model is a fine-tuned version of `facebook/nllb-200-distilled-1.3B` for translation from Rangi to Swahili.

## Model details

- **Developed by:** SIL Global
- **Finetuned from model:** facebook/nllb-200-distilled-1.3B
- **Model type:** Translation
- **Source language:** Rangi (`lag`)
- **Target language:** Swahili (`swh`)
- **License:** closed/private

## Datasets

The model was trained on a parallel corpus of plain text files:

Rangi:
- Rangi New Testament
- License: All rights reserved, Wycliffe Bible Translators. Used with permission.

Swahili:
- Swahili back-translation of Rangi New Testament
- License: All rights reserved, Wycliffe Bible Translators. Used with permission.

## Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu124
- Datasets 2.21.0
- Tokenizers 0.19.1

## Usage

You can use this model with the `transformers` library like this:

```python
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("sil-ai/madlad400-finetuned-lag-swh")
model = AutoModelForSeq2SeqLM.from_pretrained("sil-ai/madlad400-finetuned-lag-swh")

inputs = tokenizer("Your input text here", return_tensors="pt")
outputs = model.generate(**inputs)
print(tokenizer.decode(outputs[0]))
```