Token Classification
Transformers
ONNX
Safetensors
Korean
English
electra
pii
ner
korean
privacy
int8
koelectra
Eval Results (legacy)
Instructions to use 1T/veil-pii-ko-lite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 1T/veil-pii-ko-lite with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="1T/veil-pii-ko-lite")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("1T/veil-pii-ko-lite") model = AutoModelForTokenClassification.from_pretrained("1T/veil-pii-ko-lite", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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