Token Classification
Transformers
Safetensors
English
Korean
xlm-roberta
pii
privacy
redaction
named-entity-recognition
korean
bilingual
on-premises
Instructions to use noczero/pii-xlmr-bilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use noczero/pii-xlmr-bilingual with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="noczero/pii-xlmr-bilingual")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("noczero/pii-xlmr-bilingual") model = AutoModelForTokenClassification.from_pretrained("noczero/pii-xlmr-bilingual", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K