Token Classification
Transformers
Core ML
ONNX
Safetensors
bert
pii
pii-detection
pii-masking
redaction
privacy
on-device
distillation
Eval Results (legacy)
Instructions to use amsintelligence/masker-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amsintelligence/masker-mini with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="amsintelligence/masker-mini")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("amsintelligence/masker-mini") model = AutoModelForTokenClassification.from_pretrained("amsintelligence/masker-mini") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad8a573f78f60dfec04dd7e658c4a8968b0db6c9b11beef1f20ed5f376a37f57
- Size of remote file:
- 1.22 MB
- SHA256:
- 5e722c36bad602a200b3d9dbba7684150edb5449bf3b1494839030107004b09b
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