Token Classification
Transformers
ONNX
xlm-roberta
pii
privacy
redaction
accessibility-tree
ocr
computer-use
agentic
screen-capture
screenpipe
Instructions to use screenpipe/pii-redactor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use screenpipe/pii-redactor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="screenpipe/pii-redactor")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("screenpipe/pii-redactor") model = AutoModelForTokenClassification.from_pretrained("screenpipe/pii-redactor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
v46_distilled6l: 6L distilled student (balanced SKU) - 130MB int8, ~5ms CPU, EN 74.3 / FR 69.8 / ES 86.0 / IT 83.3, oversmash 11.4%, secret probe 35/1
9a8386b verified