Instructions to use KBLab/bert-base-swedish-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KBLab/bert-base-swedish-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="KBLab/bert-base-swedish-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("KBLab/bert-base-swedish-cased") model = AutoModelForMaskedLM.from_pretrained("KBLab/bert-base-swedish-cased") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8e4ca89a40459d40cf7ba203a1ed5ff273dc9a2f52e76c50f941cb775a09255
- Size of remote file:
- 658 MB
- SHA256:
- d6942a15af4c323203aa484442adab339272038d6b0ea5929040aa12a7c7235a
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