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