Token Classification
Transformers
Safetensors
deberta-v2
pii
pii-detection
pii-masking
redaction
privacy
deberta-v3
Eval Results (legacy)
Instructions to use amsintelligence/masker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amsintelligence/masker with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="amsintelligence/masker")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("amsintelligence/masker") model = AutoModelForTokenClassification.from_pretrained("amsintelligence/masker") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24942aca89dcb1d5204df62b60bddf714eaafee0876f7ce43bb6e6236935a73f
- Size of remote file:
- 2.33 MB
- SHA256:
- 58ade954e3f50385c2700d0218ba8b2db8eef1f5ce89ca61613dad72bb029233
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