Instructions to use RecordedFuture/Swedish-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RecordedFuture/Swedish-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="RecordedFuture/Swedish-NER")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("RecordedFuture/Swedish-NER") model = AutoModelForTokenClassification.from_pretrained("RecordedFuture/Swedish-NER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model
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added num labels to config
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added labels in config.json
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added README
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initial commit
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initial commit
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