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", device_map="auto") - 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
- AMD Developer Cloud
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.
Using Triton Backend worked for me with v0.25.1 on a L40s GPU