PyTorch model for Slovenian Named Entity Recognition SloNER 1.0

PyTorch model for Slovenian Named Entity Recognition SloNER 1.0

CLARIN.SI data & tools

Avtorji: Prelevikj, Marko ; Žitnik, Slavko and Knez, Timotej

Identifikator vnosa: http://hdl.handle.net/11356/1758

URL projekta: https://rsdo.slovenscina.eu/en/semantic-resources-and-technologies

Demo URL: https://slovenscina.eu/prepoznavanje-imenskih-entitet

Datum objave: 2023-01-27

Vrsta: toolService

Jezik(i): Slovenian

Opis: The SloNER is a model for Slovenian Named Entity Recognition. It is is a PyTorch neural network model, intended for usage with the HuggingFace transformers library (https://github.com/huggingface/transformers). The model is based on the Slovenian RoBERTa contextual embeddings model SloBERTa 2.0 (http://hdl.handle.net/11356/1397). The model was trained on the SUK 1.0 training corpus (http://hdl.handle.net/11356/1747).The source code of the model is available on GitHub repository https://github.com/clarinsi/SloNER.

Izdajatelj: Faculty of Computer and Information Science, University of Ljubljana

Ključne besede: named entity recognition RoBERTa

Zbirke: CLARIN.SI data & tools

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Datoteke v tem vnosu

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Publicly Available

z licenco:
Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)

Ime: sloner.1.0.transformers.zip
Velikost: 387.44 MB
Format: application/zip
Opis: SloNER PyTorch Transformers model
MD5: 9e809b303fabd0f8045191d84bfbb710

Prenesi datoteko Predogled

Predogled datoteke

- config.json-1 B
- tokenizer_config.json-1 B
- special_tokens_map.json-1 B
- pytorch_model.bin-1 B
- sentencepiece.bpe.model-1 B