Token Classification
Transformers
PyTorch
Safetensors
Polish
bert
ner
anonymization
pii
polish
herbert
Eval Results (legacy)
Instructions to use Kurdzik/flisak-anon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kurdzik/flisak-anon with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Kurdzik/flisak-anon")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Kurdzik/flisak-anon") model = AutoModelForTokenClassification.from_pretrained("Kurdzik/flisak-anon", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
13 days ago
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Add manifest.json: the sha256 of every file, which the serving code checks before it starts
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Card: the serving code is Kurdzik/flisak-anon-inference
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flisak-anon 0.1.0: FastPDN fine-tuned for Polish person names in e-mail
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initial commit
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