Instructions to use KB/bert-base-swedish-cased-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KB/bert-base-swedish-cased-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="KB/bert-base-swedish-cased-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("KB/bert-base-swedish-cased-ner") model = AutoModelForTokenClassification.from_pretrained("KB/bert-base-swedish-cased-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d584e73f72639216827690bfabcd68c838c98533d4da98345cb53d72ed872af
- Size of remote file:
- 496 MB
- SHA256:
- f0a37fac8dd7dc5fcb3d307547fc2e52a9253fec453f5a8a151a6dbc306e46c9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.