Instructions to use pax-k/privacy-filter-mini2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pax-k/privacy-filter-mini2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="pax-k/privacy-filter-mini2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("pax-k/privacy-filter-mini2") model = AutoModelForTokenClassification.from_pretrained("pax-k/privacy-filter-mini2") - Notebooks
- Google Colab
- Kaggle
metadata
library_name: transformers
tags:
- autotrain
- token-classification
base_model: answerdotai/ModernBERT-base
widget:
- text: I love AutoTrain
datasets:
- pax-k/privacy-filter-mini-data
Model Trained Using AutoTrain
- Problem type: Token Classification
Validation Metrics
loss: 0.2570085823535919
precision: 0.758298755186722
recall: 0.78419452887538
f1: 0.7710292695789751
accuracy: 0.9033240375677148