Instructions to use KBLab/bert-base-swedish-cased-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KBLab/bert-base-swedish-cased-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="KBLab/bert-base-swedish-cased-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("KBLab/bert-base-swedish-cased-ner") model = AutoModelForTokenClassification.from_pretrained("KBLab/bert-base-swedish-cased-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 47bb128fef747bf0b3e3b253e5bf0cb83f5f71d44aa3e4b3dc2d81f04f6f00b4
- Size of remote file:
- 1.36 kB
- SHA256:
- 7f45b2f4c67b9645ba4964dcc5426f5704b0120f3278ec9521f4b705f0e097ff
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