Translation
PEFT
Safetensors
Yoruba
English
african-languages
scientific-translation
afriscience-mt
lora
gemma
Eval Results (legacy)
Instructions to use dsfsi/gemma_3_4b_it-lora-r128-yor-eng with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dsfsi/gemma_3_4b_it-lora-r128-yor-eng with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-4b-it") model = PeftModel.from_pretrained(base_model, "dsfsi/gemma_3_4b_it-lora-r128-yor-eng") - Notebooks
- Google Colab
- Kaggle
Update citation to AfriScience-MT paper (arXiv:2605.29741)
Browse files
README.md
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## Citation
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If you use this
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```bibtex
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@
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title={AfriScience-MT:
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author={
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}
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```
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## Citation
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If you use this model, please cite the AfriScience-MT paper ([arXiv:2605.29741](https://arxiv.org/abs/2605.29741)):
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```bibtex
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@article{abdulmumin2026afriscience,
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title = {AfriScience-MT: Towards Decolonizing Science in Africa through Text Translation},
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author = {Abdulmumin, Idris and Gwadabe, Tajuddeen and Muhammad, Shamsuddeen Hassan and Adelani, David Ifeoluwa and Khalo, Nomonde and Ahmad, Ibrahim Said and Modupe, Abiodun and Mumm, Anina and Biyela, Sibusiso and Rabie, Michelle and Havemann, Johanna and Rei, Marek and Abbott, Jade and Marivate, Vukosi},
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journal = {arXiv preprint arXiv:2605.29741},
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year = {2026},
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url = {https://arxiv.org/abs/2605.29741}
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}
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```
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