Instructions to use NbAiLab/nb-bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/nb-bert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NbAiLab/nb-bert-base")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NbAiLab/nb-bert-base", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -13,7 +13,7 @@ thumbnail: nblogo_3.png
|
|
| 13 |
|
| 14 |
## Description
|
| 15 |
|
| 16 |
-
NB-Bert is a general Bert-base model built on the digital collection at the National Library of Norway.
|
| 17 |
|
| 18 |
This model is based on the same structure as [BERT Cased multilingual model](https://github.com/google-research/bert/blob/master/multilingual.md), and is trained on a wide variety of Norwegian text (both bokmål and nynorsk) from the last 200 years.
|
| 19 |
|
|
|
|
| 13 |
|
| 14 |
## Description
|
| 15 |
|
| 16 |
+
NB-Bert is a general Bert-base model built on the large digital collection at the National Library of Norway.
|
| 17 |
|
| 18 |
This model is based on the same structure as [BERT Cased multilingual model](https://github.com/google-research/bert/blob/master/multilingual.md), and is trained on a wide variety of Norwegian text (both bokmål and nynorsk) from the last 200 years.
|
| 19 |
|