| dc.contributor.author | Ulčar, Matej |
| dc.contributor.author | Robnik-Šikonja, Marko |
| dc.date.accessioned | 2020-07-09T12:32:41Z |
| dc.date.available | 2020-07-09T12:32:41Z |
| dc.date.issued | 2020-07-09 |
| dc.identifier.uri | http://hdl.handle.net/11356/1330 |
| dc.description | Trilingual BERT (Bidirectional Encoder Representations from Transformers) model, trained on Croatian, Slovenian, and English data. State of the art tool representing words/tokens as contextually dependent word embeddings, used for various NLP classification tasks by finetuning the model end-to-end. CroSloEngual BERT are neural network weights and configuration files in pytorch format (i.e. to be used with pytorch library). Changes in version 1.1: fixed vocab.txt file, as previous verson had an error causing very bad results during fine-tuning and/or evaluation. |
| dc.language.iso | hrv |
| dc.language.iso | slv |
| dc.language.iso | eng |
| dc.publisher | Faculty of Computer and Information Science, University of Ljubljana |
| dc.relation | info:eu-repo/grantAgreement/EC/H2020/825153 |
| dc.relation.isreferencedby | https://arxiv.org/abs/2006.07890 |
| dc.relation.replaces | http://hdl.handle.net/11356/1317 |
| dc.rights | Creative Commons - Attribution 4.0 International (CC BY 4.0) |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ |
| dc.rights.label | PUB |
| dc.source.uri | http://embeddia.eu |
| dc.subject | word embeddings |
| dc.subject | multilingual |
| dc.subject | contextual embeddings |
| dc.subject | BERT |
| dc.subject | language model |
| dc.title | CroSloEngual BERT 1.1 |
| dc.type | toolService |
| metashare.ResourceInfo#ContentInfo.detailedType | tool |
| metashare.ResourceInfo#ResourceComponentType#ToolServiceInfo.languageDependent | true |
| has.files | yes |
| branding | CLARIN.SI data & tools |
| contact.person | Matej Ulčar matej.ulcar@fri.uni-lj.si Faculty of Computer and Information Science, University of Ljubljana |
| sponsor | European Union EC/H2020/825153 EMBEDDIA - Cross-Lingual Embeddings for Less-Represented Languages in European News Media euFunds info:eu-repo/grantAgreement/EC/H2020/825153 |
| files.count | 3 |
| files.size | 499491056 |
Datoteke v tem vnosu
Prenesi vse datoteke v vnosu (476.35 MB)To je vnos
Creative Commons - Attribution 4.0 International (CC BY 4.0)
Publicly Available
z licenco:Creative Commons - Attribution 4.0 International (CC BY 4.0)
- Ime
- config.json
- Velikost
- 520 bajtov
- Format
- Neznano
- Opis
- Configuration file, describing the model's architecture
- MD5
- db3bdd5c4db6ffffa9bf3edab2e7be70
- Ime
- pytorch_model.bin
- Velikost
- 476.04 MB
- Format
- Neznano
- Opis
- CroSloEngual BERT model
- MD5
- 6b26401118943bf61b66a70d2ae68b9d
- Ime
- vocab.txt
- Velikost
- 321.42 KB
- Format
- Besedilna datoteka
- Opis
- Subword token (WordPiece) vocabulary
- MD5
- 08ab5bc48cb5a041611ed062eb368790
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