Token Classification
Transformers
ONNX
Safetensors
Polish
bert
named-entity-recognition
ner
pii
pii-detection
anonymization
privacy
gdpr
polish
legal
legal-nlp
ocr-robust
herbert
Eval Results (legacy)
Instructions to use lexedit/herbert-polish-legal-ner-ocr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lexedit/herbert-polish-legal-ner-ocr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="lexedit/herbert-polish-legal-ner-ocr")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("lexedit/herbert-polish-legal-ner-ocr") model = AutoModelForTokenClassification.from_pretrained("lexedit/herbert-polish-legal-ner-ocr") - Notebooks
- Google Colab
- Kaggle
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