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AiLab-IMCS-UL/lv-mbert-base
lv-mbert-base is a fill-mask model from AiLab-IMCS-UL. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as apache-2.0.
Latvian ModernBERT text encoder model, released with the paper "Pretraining and Benchmarking Modern Encoders for Latvian".
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From the Hugging Face model README
Latvian ModernBERT text encoder model, released with the paper "Pretraining and Benchmarking Modern Encoders for Latvian".
For evaluation code and benchmark results, see: https://github.com/LUMII-AILab/latvian-encoders
@inproceedings{znotins-2026-modern_lv_encoders,
title = "Pretraining and Benchmarking Modern Encoders for {L}atvian",
author = "Znotins, Arturs",
booktitle = "Proceedings of the Second Workshop on Language Models for Low-Resource Languages ({LoResLM})",
year = "2026",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.loreslm-1.40/",
pages = "461--470"
}
This work was supported by the EU Recovery and Resilience Facility project Language Technology Initiative (2.3.1.1.i.0/1/22/I/CFLA/002).