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:
- 952bff09211198e1d3d336b38018ff35c1d2cf809cfb544ef2edb982bc5dc8ce
- Size of remote file:
- 501 MB
- SHA256:
- 47169398946aa3e4652b78f790f68e00c12ed184e7de3d7d42e655a658e6987e
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