Instructions to use Gehan77/cv-match-browser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Gehan77/cv-match-browser with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-classification', 'Gehan77/cv-match-browser');
CV match model for browser inference
This is the ONNX export of the Sri Lankan job-resume Cross-Encoder. It is intended to run locally in a browser using Transformers.js, so the free static Hugging Face Space does not need a paid CPU runtime.
The model accepts a job description as the first text and a candidate profile as the second text. Apply a sigmoid to the single output logit and compare the resulting probability with the decision threshold 0.4399277865886688.
- Downloads last month
- 6