Alternatively, you can use it in vanilla JS, without any bundler, by using a CDN or static hosting. For example, using[ES Modules](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Modules), you can import the library with:

<scripttype="module">

</script>

By default, Transformers.js uses[hosted pretrained models](https://huggingface.co/models?library=transformers.js) and[precompiled WASM binaries](https://cdn.jsdelivr.net/npm/@huggingface/transformers@3.7.1/dist/), which should work out-of-the-box. You can customize this as follows:

By default, Transformers.js uses[hosted pretrained models](https://huggingface.co/models?library=transformers.js) and[precompiled WASM binaries](https://cdn.jsdelivr.net/npm/@huggingface/transformers@3.7.2/dist/), which should work out-of-the-box. You can customize this as follows:

Alternatively, you can use it in vanilla JS, without any bundler, by using a CDN or static hosting. For example, using [ES Modules](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Modules), you can import the library with:

By default, Transformers.js uses [hosted pretrained models](https://huggingface.co/models?library=transformers.js) and [precompiled WASM binaries](https://cdn.jsdelivr.net/npm/@huggingface/transformers@3.7.1/dist/), which should work out-of-the-box. You can customize this as follows:

By default, Transformers.js uses [hosted pretrained models](https://huggingface.co/models?library=transformers.js) and [precompiled WASM binaries](https://cdn.jsdelivr.net/npm/@huggingface/transformers@3.7.2/dist/), which should work out-of-the-box. You can customize this as follows:

{

"name":"@huggingface/transformers",

"version":"3.7.1",

"version":"3.7.2",

"description":"State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!",

"main":"./src/transformers.js",

"types":"./types/transformers.d.ts",