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'); - Inference
- Notebooks
- Google Colab
- Kaggle
vllm or something
#25
by prudant - opened
nice work, can be served for production environments with vllm or similars? regards
Tried with vllm/vllm-openai:cu129-nightly
Currently does not work for 5090. RTX Pro 6000, GB10
Require Flash Attention 3 to work (H100, H200...)
Tried with
vllm/vllm-openai:cu129-nightly
Currently does not work for 5090. RTX Pro 6000, GB10
Require Flash Attention 3 to work (H100, H200...)
Try with TRITON BACKEND instead of FA3
You would know it won't work if you tried, for this model, vllm's implementation requires you to use FA3.