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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.

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Exploring transformers.js in the Hub

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

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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.

Python (original) | Javascript (ours)
--- | ---
    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.

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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.

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Additional resources

- Transformers.js repository
- Transformers.js docs
- Transformers.js demo

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