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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 02bd618
Adding `safetensors` variant of this model (#3)
Browse files- Adding `safetensors` variant of this model (65fb1c436eac7939067c125757f78f679a289a0c)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
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