Token Classification
Transformers
Safetensors
English
modernbert
pii-detection
ner
PII
privacy
Eval Results (legacy)
Instructions to use kalyan-ks/ettin-32m-nemotron-pii with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kalyan-ks/ettin-32m-nemotron-pii with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="kalyan-ks/ettin-32m-nemotron-pii")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("kalyan-ks/ettin-32m-nemotron-pii") model = AutoModelForTokenClassification.from_pretrained("kalyan-ks/ettin-32m-nemotron-pii") - Notebooks
- Google Colab
- Kaggle
Ctrl+K