Instructions to use openai/privacy-filter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openai/privacy-filter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="openai/privacy-filter")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("openai/privacy-filter") model = AutoModelForTokenClassification.from_pretrained("openai/privacy-filter") - Transformers.js
How to use openai/privacy-filter with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('token-classification', 'openai/privacy-filter'); - Notebooks
- Google Colab
- Kaggle
Request: Release of corrected PII-Masking-300k labels used in Privacy Filter evaluation
#23 opened 5 days ago
by
itsgnani
Great initiative! π Exploring fine-grained privacy protection for Edge-Cloud Agents with MemPrivacy
π₯ 1
#22 opened 6 days ago
by
apocryphal
Try openai/privacy-filter live on your own PDFs/DOCX (Maskify β privacy-first)
1
#20 opened 8 days ago
by
Lisarde
Share onnx conversion script
3
#14 opened 10 days ago
by
jalbrethsen-highflame
Installation Video and Testing - Step by Step
β€οΈ 1
#11 opened 13 days ago
by
fahdmirzac
GGUF wen?
ππ₯ 11
7
#2 opened 24 days ago
by
AaryanK