Token Classification
Transformers
Safetensors
xlm-roberta
named-entity-recognition
multilingual
Eval Results (legacy)
Instructions to use developer-lunark/kaidol-ner-multilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use developer-lunark/kaidol-ner-multilingual with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="developer-lunark/kaidol-ner-multilingual")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("developer-lunark/kaidol-ner-multilingual") model = AutoModelForTokenClassification.from_pretrained("developer-lunark/kaidol-ner-multilingual", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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