Instructions to use xx9056/privacy-filter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xx9056/privacy-filter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="xx9056/privacy-filter")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("xx9056/privacy-filter") model = AutoModelForTokenClassification.from_pretrained("xx9056/privacy-filter") - Transformers.js
How to use xx9056/privacy-filter with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('token-classification', 'xx9056/privacy-filter'); - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10eddd2580a3814f5d0c08a30f493c4ece668881b4c3bc7cfe14a745e3d8ead0
- Size of remote file:
- 2.08 GB
- SHA256:
- 744ef21b5311bf8f2e6500c4ef013a23d65277ac79a28679c0ddba964552f084
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.