Token Classification
Transformers
Safetensors
roberta
text-anonymization
pii-redaction
named-entity-recognition
ner
privacy
data-protection
synthetic-data
tanaos
artifex
Instructions to use tanaos/tanaos-text-anonymizer-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tanaos/tanaos-text-anonymizer-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tanaos/tanaos-text-anonymizer-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tanaos/tanaos-text-anonymizer-v1") model = AutoModelForTokenClassification.from_pretrained("tanaos/tanaos-text-anonymizer-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f9ffb863727eae09b6f4c9c4af6514632cb7fa8fb58607c58d6cf91116424d1
- Size of remote file:
- 496 MB
- SHA256:
- 21c16ae094f49b3f02188d54f37a82e57d836f605ef09ffea628bd5649b5ce7e
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