Instructions to use KBLab/bert-base-swedish-cased-alpha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KBLab/bert-base-swedish-cased-alpha with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="KBLab/bert-base-swedish-cased-alpha")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("KBLab/bert-base-swedish-cased-alpha") model = AutoModelForMaskedLM.from_pretrained("KBLab/bert-base-swedish-cased-alpha") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be1f40b1e1ce6f9c7960f82d001757cf3decbe12df686563d224ffcfa2e28292
- Size of remote file:
- 498 MB
- SHA256:
- b54cb79ab54fe5306c99087f624378990ac92ca4f7202f3d56cc923a15ada219
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