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")# 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
- Xet hash:
- 3bb231dfc189f60b8bfe2e1bfdd1ee46a5cf533d71c9b12ead100049263342ec
- Size of remote file:
- 5.2 kB
- SHA256:
- d36f256a8d4e8743db4b213abc7bf48f58b84a839114a340a5cf7fc01305b771
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