Token Classification
Transformers
Safetensors
English
gpt2
privacy
pii-detection
pii-redaction
sliding-window-attention
rope
swiglu
text-generation-inference
Instructions to use 8Fai/context-filter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 8Fai/context-filter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="8Fai/context-filter")# Load model directly from transformers import AutoTokenizer, ContextFilterV2 tokenizer = AutoTokenizer.from_pretrained("8Fai/context-filter") model = ContextFilterV2.from_pretrained("8Fai/context-filter") - Notebooks
- Google Colab
- Kaggle
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- **Regex Hybrid Layer**: A built-in post-processing pass applies deterministic regex patterns for structured PII formats, guaranteeing recall on well-defined identifiers regardless of model uncertainty.
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- **Multilingual Coverage**: Trained on synthetic data from 15 locales spanning English, German, French, Swedish, Italian, Spanish, Dutch, Portuguese, Polish, Czech, Danish, and Finnish.
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- **Regex Hybrid Layer**: A built-in post-processing pass applies deterministic regex patterns for structured PII formats, guaranteeing recall on well-defined identifiers regardless of model uncertainty.
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