Token Classification
Transformers
PyTorch
Safetensors
Polish
bert
ner
anonymization
pii
polish
herbert
Eval Results (legacy)
Instructions to use Kurdzik/asygna-anon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kurdzik/asygna-anon with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Kurdzik/asygna-anon")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Kurdzik/asygna-anon") model = AutoModelForTokenClassification.from_pretrained("Kurdzik/asygna-anon", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K