Instructions to use PAVLIK1/finbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use PAVLIK1/finbert with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-classification', 'PAVLIK1/finbert');
metadata
base_model: ProsusAI/finbert
library_name: transformers.js
https://huggingface.co/ProsusAI/finbert with ONNX weights to be compatible with Transformers.js.
Usage (Transformers.js)
If you haven't already, you can install the Transformers.js JavaScript library from NPM using:
npm i @huggingface/transformers
Example: Text Classification
import { pipeline } from '@huggingface/transformers';
const classifier = await pipeline('text-classification', 'Xenova/finbert');
const output = await classifier('I love transformers!');
Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using 🤗 Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named onnx).