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
Small changes
Browse files
README.md
CHANGED
|
@@ -16,13 +16,13 @@ widget:
|
|
| 16 |
|
| 17 |
## Description
|
| 18 |
|
| 19 |
-
NB-
|
| 20 |
|
| 21 |
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.
|
| 22 |
|
| 23 |
## Intended use & limitations
|
| 24 |
|
| 25 |
-
The 1.
|
| 26 |
|
| 27 |
* https://github.com/NBAiLab/notram
|
| 28 |
|
|
|
|
| 16 |
|
| 17 |
## Description
|
| 18 |
|
| 19 |
+
NB-BERT-base is a general BERT-base model built on the large digital collection at the National Library of Norway.
|
| 20 |
|
| 21 |
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.
|
| 22 |
|
| 23 |
## Intended use & limitations
|
| 24 |
|
| 25 |
+
The 1.1 version of the model is general, and should be fine-tuned for any particular use. Some fine-tuning sets may be found on GitHub, see
|
| 26 |
|
| 27 |
* https://github.com/NBAiLab/notram
|
| 28 |
|