Instructions to use te-sla/sr_nel_all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use te-sla/sr_nel_all with spaCy:
!pip install https://huggingface.co/te-sla/sr_nel_all/resolve/main/sr_nel_all-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("sr_nel_all") # Importing as module. import sr_nel_all nlp = sr_nel_all.load() - Notebooks
- Google Colab
- Kaggle
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## Acknowledgments
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This research was supported by the Science Fund of the Republic of Serbia, project **Text Embeddings - Serbian Language Applications - TESLA**. The work also acknowledges the use of Serbian linguistic resources and corpora described in the associated paper, including Leximirka, Wikidata-derived data, sr-ELEXIS, SrpELTeC-related resources, and the sr-geography evaluation material.
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## Acknowledgments
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This research was supported by the Science Fund of the Republic of Serbia, project **Text Embeddings - Serbian Language Applications - TESLA**. The work also acknowledges the use of Serbian linguistic resources and corpora described in the associated paper, including Leximirka, Wikidata-derived data, sr-ELEXIS, SrpELTeC-related resources, and the sr-geography evaluation material.
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