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xlm-roberta-uganda-languages
akera/xlm-roberta-uganda-languages
xlm-roberta-uganda-languages is a fill-mask model from akera. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as mit.
This model is XLM-RoBERTa-base fine-tuned on a comprehensive dataset of Ugandan languages.
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- mit
- Access
- Public
- Created
- May 29, 2025
- Updated
- May 30, 2025
- SHA
- 00f0f94a
Try a prompt
Model card
From the Hugging Face model README
XLM-RoBERTa Fine-tuned on Ugandan Languages
This model is XLM-RoBERTa-base fine-tuned on a comprehensive dataset of Ugandan languages.
Usage
from transformers import AutoTokenizer, AutoModelForMaskedLM, pipeline
tokenizer = AutoTokenizer.from_pretrained("xlm-roberta-uganda-languages")
model = AutoModelForMaskedLM.from_pretrained("xlm-roberta-uganda-languages")
fill_mask = pipeline("fill-mask", model=model, tokenizer=tokenizer)
result = fill_mask("Abantu b'omubyalo tibatera kwikiriza [MASK] muyaaka.")
print(result)
Training Details
- Training Steps: N/A
- Training Loss: 2.1567
- Learning Rate: 5e-05
- Batch Size: 8
- Epochs: 3
- Task
- Fill-Mask
- Library
- transformers
- License
- mit
- Languages
- en, lg, ach
- Created
- May 29, 2025
- Updated
- May 30, 2025