Token Classification
Transformers
Safetensors
PyTorch
Dutch
bert
ner
pii
pii-detection
de-identification
privacy
healthcare
medical
clinical
phi
dutch
openmed
Eval Results (legacy)
Instructions to use OpenMed/OpenMed-PII-Dutch-BioClinicalBERT-Base-110M-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMed/OpenMed-PII-Dutch-BioClinicalBERT-Base-110M-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="OpenMed/OpenMed-PII-Dutch-BioClinicalBERT-Base-110M-v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("OpenMed/OpenMed-PII-Dutch-BioClinicalBERT-Base-110M-v1") model = AutoModelForTokenClassification.from_pretrained("OpenMed/OpenMed-PII-Dutch-BioClinicalBERT-Base-110M-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download eval_results.json from OpenMed/OpenMed-PII-Dutch-BioClinicalBERT-Base-110M-v1: direct link, hf CLI and curl.
- Browser
- Download file 404 Bytes
-
https://huggingface.co/OpenMed/OpenMed-PII-Dutch-BioClinicalBERT-Base-110M-v1/resolve/main/eval_results.json
- Command line
-
hf download hf://OpenMed/OpenMed-PII-Dutch-BioClinicalBERT-Base-110M-v1/eval_results.json
-
curl -L -o eval_results.json https://huggingface.co/OpenMed/OpenMed-PII-Dutch-BioClinicalBERT-Base-110M-v1/resolve/main/eval_results.json
404 Bytes
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.985088637758602, | |
| "eval_f1": 0.8497698423769006, | |
| "eval_loss": 0.17400769889354706, | |
| "eval_macro_f1": 0.8251482486926125, | |
| "eval_precision": 0.832923161060979, | |
| "eval_recall": 0.8673120728929385, | |
| "eval_runtime": 1.8125, | |
| "eval_samples_per_second": 1716.998, | |
| "eval_steps_per_second": 27.035, | |
| "eval_weighted_f1": 0.8468510585813926 | |
| } |