Token Classification
Transformers
Safetensors
PyTorch
Turkish
deberta-v2
ner
pii
pii-detection
de-identification
privacy
healthcare
medical
clinical
phi
openmed
turkish
Instructions to use OpenMed/OpenMed-PII-Turkish-SuperClinical-Base-184M-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMed/OpenMed-PII-Turkish-SuperClinical-Base-184M-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="OpenMed/OpenMed-PII-Turkish-SuperClinical-Base-184M-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("OpenMed/OpenMed-PII-Turkish-SuperClinical-Base-184M-v1") model = AutoModelForTokenClassification.from_pretrained("OpenMed/OpenMed-PII-Turkish-SuperClinical-Base-184M-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download classification_report.txt from OpenMed/OpenMed-PII-Turkish-SuperClinical-Base-184M-v1: direct link, hf CLI and curl.
- Browser
- Download file 3.34 kB
-
https://huggingface.co/OpenMed/OpenMed-PII-Turkish-SuperClinical-Base-184M-v1/resolve/main/classification_report.txt
- Command line
-
hf download hf://OpenMed/OpenMed-PII-Turkish-SuperClinical-Base-184M-v1/classification_report.txt
-
curl -L -o classification_report.txt https://huggingface.co/OpenMed/OpenMed-PII-Turkish-SuperClinical-Base-184M-v1/resolve/main/classification_report.txt
3.34 kB
| Classification Report for Turkish PII Detection | |
| Model: microsoft/deberta-v3-base | |
| ============================================================ | |
| precision recall f1-score support | |
| ACCOUNTNAME 0.78 0.87 0.82 260 | |
| AGE 0.90 0.85 0.87 264 | |
| AMOUNT 0.58 0.63 0.60 780 | |
| BANKACCOUNT 0.00 0.00 0.00 10 | |
| BIC 0.93 0.90 0.92 42 | |
| BITCOINADDRESS 0.98 0.97 0.98 63 | |
| BUILDINGNUMBER 0.51 0.90 0.65 77 | |
| CITY 0.78 0.85 0.81 219 | |
| COUNTY 0.43 0.50 0.46 18 | |
| CREDITCARD 0.96 0.94 0.95 166 | |
| CREDITCARDISSUER 0.36 0.69 0.47 13 | |
| CURRENCY 0.22 0.17 0.19 133 | |
| CURRENCYCODE 0.48 0.81 0.60 62 | |
| CURRENCYNAME 0.00 0.00 0.00 8 | |
| CURRENCYSYMBOL 0.68 0.33 0.45 57 | |
| CVV 0.89 0.89 0.89 56 | |
| DATE 0.92 0.91 0.92 582 | |
| DATEOFBIRTH 0.92 0.95 0.93 263 | |
| EMAIL 0.94 0.98 0.96 139 | |
| EYECOLOR 0.73 0.89 0.80 18 | |
| FIRSTNAME 0.97 0.97 0.97 2620 | |
| GENDER 0.55 0.80 0.65 15 | |
| GPSCOORDINATES 1.00 0.96 0.98 27 | |
| HEIGHT 0.72 0.69 0.71 26 | |
| IBAN 0.98 0.98 0.98 1585 | |
| IMEI 0.82 0.95 0.88 19 | |
| IPADDRESS 1.00 0.97 0.99 37 | |
| JOBDEPARTMENT 0.82 0.86 0.84 140 | |
| JOBTITLE 0.38 0.44 0.41 104 | |
| LASTNAME 0.97 0.99 0.98 2593 | |
| MACADDRESS 1.00 1.00 1.00 33 | |
| MASKEDNUMBER 0.29 0.55 0.37 22 | |
| MIDDLENAME 0.45 0.74 0.56 42 | |
| OCCUPATION 0.33 0.08 0.13 50 | |
| ORDINALDIRECTION 0.20 0.07 0.10 15 | |
| ORGANIZATION 0.69 0.66 0.67 227 | |
| PASSWORD 0.87 0.90 0.88 29 | |
| PHONE 0.99 0.98 0.99 619 | |
| PIN 0.76 0.85 0.80 33 | |
| PREFIX 0.93 0.97 0.95 1581 | |
| SECONDARYADDRESS 0.00 0.00 0.00 14 | |
| SEX 0.00 0.00 0.00 1 | |
| SSN 0.74 0.79 0.76 630 | |
| STATE 0.53 0.62 0.57 13 | |
| STREET 0.48 0.49 0.49 132 | |
| TIME 0.81 0.96 0.88 308 | |
| URL 0.95 0.87 0.91 23 | |
| USERNAME 0.92 0.46 0.61 50 | |
| VIN 0.77 1.00 0.87 17 | |
| VRM 0.95 0.89 0.92 46 | |
| ZIPCODE 0.84 0.90 0.87 30 | |
| micro avg 0.88 0.90 0.89 14311 | |
| macro avg 0.68 0.71 0.69 14311 | |
| weighted avg 0.88 0.90 0.89 14311 | |