Token Classification
Transformers
Safetensors
PyTorch
Dutch
distilbert
ner
pii
pii-detection
de-identification
privacy
healthcare
medical
clinical
phi
dutch
openmed
Eval Results (legacy)
Instructions to use OpenMed/OpenMed-PII-Dutch-mLiteClinical-Base-135M-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMed/OpenMed-PII-Dutch-mLiteClinical-Base-135M-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="OpenMed/OpenMed-PII-Dutch-mLiteClinical-Base-135M-v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("OpenMed/OpenMed-PII-Dutch-mLiteClinical-Base-135M-v1") model = AutoModelForTokenClassification.from_pretrained("OpenMed/OpenMed-PII-Dutch-mLiteClinical-Base-135M-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download classification_report.txt from OpenMed/OpenMed-PII-Dutch-mLiteClinical-Base-135M-v1: direct link, hf CLI and curl.
- Browser
- Download file 1.23 kB
-
https://huggingface.co/OpenMed/OpenMed-PII-Dutch-mLiteClinical-Base-135M-v1/resolve/main/classification_report.txt
- Command line
-
hf download hf://OpenMed/OpenMed-PII-Dutch-mLiteClinical-Base-135M-v1/classification_report.txt
-
curl -L -o classification_report.txt https://huggingface.co/OpenMed/OpenMed-PII-Dutch-mLiteClinical-Base-135M-v1/resolve/main/classification_report.txt
1.23 kB
| Classification Report for Dutch PII Detection | |
| Model: distilbert/distilbert-base-multilingual-cased | |
| ============================================================ | |
| precision recall f1-score support | |
| BANKACCOUNT 0.61 0.35 0.44 136 | |
| BUILDINGNUMBER 0.85 0.79 0.82 111 | |
| CITY 0.90 0.94 0.92 334 | |
| CREDITCARD 0.52 0.67 0.59 86 | |
| DATEOFBIRTH 0.87 0.85 0.86 138 | |
| EMAIL 0.99 1.00 1.00 347 | |
| FIRSTNAME 0.79 0.88 0.83 460 | |
| LASTNAME 0.78 0.70 0.74 354 | |
| MASKEDNUMBER 0.95 0.94 0.94 77 | |
| PASSWORD 0.98 0.98 0.98 94 | |
| PHONE 0.99 0.99 0.99 230 | |
| SSN 0.90 1.00 0.95 338 | |
| STREET 0.82 0.79 0.80 123 | |
| USERNAME 0.98 0.96 0.97 367 | |
| ZIPCODE 0.91 0.95 0.93 193 | |
| micro avg 0.88 0.88 0.88 3388 | |
| macro avg 0.86 0.85 0.85 3388 | |
| weighted avg 0.88 0.88 0.88 3388 | |