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
File size: 134 Bytes
2052c5c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:7e8ad48a821068c43cd7d4b9d051f2eeb3cad08b5f0f7f7377bb3f3791a53a14
size 498854703
|