Token Classification
Transformers
Safetensors
deberta-v2
pii
ner
privacy
deberta-v3
Eval Results (legacy)
Instructions to use seongyeon1/pii-deberta-v3-base-multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seongyeon1/pii-deberta-v3-base-multi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="seongyeon1/pii-deberta-v3-base-multi")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("seongyeon1/pii-deberta-v3-base-multi") model = AutoModelForTokenClassification.from_pretrained("seongyeon1/pii-deberta-v3-base-multi") - Notebooks
- Google Colab
- Kaggle
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