Instructions to use vesteinn/ScandiBERT-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vesteinn/ScandiBERT-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="vesteinn/ScandiBERT-NER")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("vesteinn/ScandiBERT-NER") model = AutoModelForTokenClassification.from_pretrained("vesteinn/ScandiBERT-NER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (483c1db6b1ebfdfd30bc7c52c0fb6c25e8f6ce5c) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>54718af
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Added correct model
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Resolved confl in gitattr
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Added model
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initial commit
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