Token Classification
Transformers
Safetensors
English
Dutch
German
xlm-roberta
named-entity-recognition
legal
multilingual
Instructions to use lblod/multilingual-ner-abb-improved with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lblod/multilingual-ner-abb-improved with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="lblod/multilingual-ner-abb-improved")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("lblod/multilingual-ner-abb-improved") model = AutoModelForTokenClassification.from_pretrained("lblod/multilingual-ner-abb-improved", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Duplicate from PedroDKE/multilingual-ner-abb-improved
Co-authored-by: Pedro <PedroDKE@users.noreply.huggingface.co>707e3ae