Instructions to use AiLab-IMCS-UL/lvbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AiLab-IMCS-UL/lvbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AiLab-IMCS-UL/lvbert")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AiLab-IMCS-UL/lvbert") model = AutoModel.from_pretrained("AiLab-IMCS-UL/lvbert") - Notebooks
- Google Colab
- Kaggle
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doi = "10.3233/FAIA200610",
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url = "http://ebooks.iospress.nl/volumearticle/55531"
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}
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```
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doi = "10.3233/FAIA200610",
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url = "http://ebooks.iospress.nl/volumearticle/55531"
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}
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```
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Please use the following text to cite this item or export to a predefined format:
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Znotiņš, Artūrs, 2020, LVBERT - Latvian BERT, CLARIN-LV digital library at IMCS, University of Latvia, http://hdl.handle.net/20.500.12574/43
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