Using Transformers.js at Hugging Face

Transformers.js is a JavaScript library for running 🤗 Transformers directly in your browser, with no need for a server! It is designed to be functionally equivalent to the original Python library, meaning you can run the same pretrained models using a very similar API.

Exploring transformers.js in the Hub

You can find transformers.js models by filtering by library in the models page.

Quick tour

It’s super simple to translate from existing code! Just like the Python library, we support the pipeline API. Pipelines group together a pretrained model with preprocessing of inputs and postprocessing of outputs, making it the easiest way to run models with the library.

from transformers import pipeline

# Allocate a pipeline for sentiment-analysis
pipe = pipeline('sentiment-analysis')

out = pipe('I love transformers!')
# [{'label': 'POSITIVE', 'score': 0.999806941}]

import { pipeline } from '@huggingface/transformers';

// Allocate a pipeline for sentiment-analysis
let pipe = await pipeline('sentiment-analysis');

let out = await pipe('I love transformers!');
// [{'label': 'POSITIVE', 'score': 0.999817686}]

You can also use a different model by specifying the model id or path as the second argument to the pipeline function. For example:

// Use a different model for sentiment-analysis
let pipe = await pipeline('sentiment-analysis', 'nlptown/bert-base-multilingual-uncased-sentiment');

Refer to the documentation for the full list of supported tasks and models.

Installation

To install via NPM, run:

npm i @huggingface/transformers

For more information, including how to use it in vanilla JS (without any bundler) via a CDN or static hosting, refer to the README.

Additional resources

• Transformers.js repository
• Transformers.js docs
• Transformers.js demo