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uhhlt/am-roberta
am-roberta is a fill-mask model from uhhlt. 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.
[](https://github.com/uhh-lt/amharicmodels)
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From the Hugging Face model README
This is the Amharic RoBERTa transformer-based LM. It is part of the effort to build benchmark datasets and models for Amharic NLP.
If you want to test the model in the Hosted inference API, copy the following texts to the box (right side)
Example 1:
አበበ <mask> በላ ።
Example 2:
የአገሪቱ አጠቃላይ የስንዴ አቅርቦት ሶስት አራተኛው የሚመረተው በአገር <mask> ነው።
The example shows possible words for the fill in the blank -- mask task
More resource regarding Amharic NLP is available here If you use the model in your work, please cite the following paper
@Article{fi13110275,
AUTHOR = {Yimam, Seid Muhie and Ayele, Abinew Ali and Venkatesh, Gopalakrishnan and Gashaw, Ibrahim and Biemann, Chris},
TITLE = {Introducing Various Semantic Models for Amharic: Experimentation and Evaluation with Multiple Tasks and Datasets},
JOURNAL = {Future Internet},
VOLUME = {13},
YEAR = {2021},
NUMBER = {11},
ARTICLE-NUMBER = {275},
URL = {https://www.mdpi.com/1999-5903/13/11/275},
ISSN = {1999-5903},
DOI = {10.3390/fi13110275}
}