AiLab-IMCS-UL / lv-mbert-base

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Total runs: 58
24-hour runs: 0
7-day runs: -62
30-day runs: -485
Model's Last Updated: June 26 2026
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Introduction of lv-mbert-base

Model Details of lv-mbert-base

lv-mbert-base

Latvian ModernBERT 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

Citation
@inproceedings{znotins-2026-pretraining,
    title = "Pretraining and Benchmarking Modern Encoders for {L}atvian",
    author = "Znotins, Arturs",
    editor = "Hettiarachchi, Hansi  and
      Ranasinghe, Tharindu  and
      Plum, Alistair  and
      Rayson, Paul  and
      Mitkov, Ruslan  and
      Gaber, Mohamed  and
      Premasiri, Damith  and
      Tan, Fiona Anting  and
      Uyangodage, Lasitha",
    booktitle = "Proceedings of the Second Workshop on Language Models for Low-Resource Languages ({L}o{R}es{LM} 2026)",
    month = mar,
    year = "2026",
    address = "Rabat, Morocco",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.loreslm-1.40/",
    pages = "461--470",
    ISBN = "979-8-89176-377-7"
}

Runs of AiLab-IMCS-UL lv-mbert-base on huggingface.co

58
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0
24-hour runs
8
3-day runs
-62
7-day runs
-485
30-day runs

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lv-mbert-base install

lv-mbert-base is an open source model from GitHub that offers a free installation service, and any user can find lv-mbert-base on GitHub to install. At the same time, huggingface.co provides the effect of lv-mbert-base install, users can directly use lv-mbert-base installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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Total runs: 179
Run Growth: -91
Growth Rate: -45.96%
Updated:May 02 2024