Instructions to use KB/bert-base-swedish-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KB/bert-base-swedish-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="KB/bert-base-swedish-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("KB/bert-base-swedish-cased") model = AutoModelForMaskedLM.from_pretrained("KB/bert-base-swedish-cased") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 162afb31ce309178cf13bd780868366fdf5c16efb5e7b76c0786617fc7646e90
- Size of remote file:
- 499 MB
- SHA256:
- 09df7b12083d4978d582bc470a2ed25262e77a9d3f9316ed052123d3549128f5
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