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")# 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") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!