Token Classification
Transformers
Safetensors
Romanian
English
Polish
deberta-v2
pii
privacy
de-identification
bioes
kp
multilingual
romanian
Instructions to use klusai/kp-deid-mdeberta-280m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use klusai/kp-deid-mdeberta-280m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="klusai/kp-deid-mdeberta-280m")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("klusai/kp-deid-mdeberta-280m") model = AutoModelForTokenClassification.from_pretrained("klusai/kp-deid-mdeberta-280m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
KLU-55: correct CNP per-subject numbers (1123/1123, CI 0.000-0.0034) + drop leaky eval-loss quality framing
bc97779 verified