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bert-base-multilingual-cased-conloan-lv
jorenchik/bert-base-multilingual-cased-conloan-lv
bert-base-multilingual-cased-conloan-lv is a token classification model from jorenchik. Use it when you need labels on individual words, such as names. The card lists the license as apache-2.0.
This model is part of a Bachelor's thesis at the University of Latvia: "Contextual approach to Latvian loanword detection: dataset creation and classification experiments".
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At a glance
- Task
- Token Classification
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- May 12, 2026
- Updated
- May 12, 2026
- SHA
- 1738f0c0
Datasets
Model card
From the Hugging Face model README
bert-base-multilingual-cased-conloan-lv
Description
This model is part of a Bachelor's thesis at the University of Latvia: "Contextual approach to Latvian loanword detection: dataset creation and classification experiments".
It is a fine-tuned version of bert-base-multilingual-cased on the baseline dataset.
Classes and Labels
Dataset Type: {Baseline (Binary) / Extended (Contrastive)} Labels:
O: OutsideLOAN: Borrowing (Materiālie aizguvumi)
Performance (k-fold average)
- F1 Score: {0.899}
- Std Dev (σ): {0.009}
Usage
from transformers import pipeline
nlp = pipeline("ner", model="jorenchik/bert-base-multilingual-cased-conloan-lv")
nlp("Šodienas mītings bija ļoti produktīvs.")
- Task
- Token Classification
- Type
- bert
- License
- apache-2.0
- Languages
- lv
- Created
- May 12, 2026
- Updated
- May 12, 2026