Instructions to use ltg/norbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ltg/norbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ltg/norbert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ltg/norbert") model = AutoModelForMaskedLM.from_pretrained("ltg/norbert") - Notebooks
- Google Colab
- Kaggle
Link to NorBERT 2
Browse files
README.md
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**Release 1.1** (February 13, 2021)
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Download the model here:
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* Cased Norwegian BERT Base: [216.zip](http://vectors.nlpl.eu/repository/20/216.zip)
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**Release 1.1** (February 13, 2021)
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Please check also our newer model: [NorBERT 2](https://huggingface.co/ltgoslo/norbert2), trained on a much larger corpus.
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Download the model here:
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* Cased Norwegian BERT Base: [216.zip](http://vectors.nlpl.eu/repository/20/216.zip)
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