Transformers Packages

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

GPT model implemented with Tensorflow.js

simple huggingface inference module

large model translator

React components and hooks for Wandler

Modular LLM orchestration framework

typescript plus

typescript transformer helpers

type safe store reducer transformer

<!-- README for NPM; the one for GitHub is in .github directory. -->

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

strobes component

Chroma's fork of @xenova/transformers serving as our default embedding function

Semantically create chunks from large texts. Useful for workflows involving large language models (LLMs).

An auto suggest module which uses context to provide suggestions using NLP

Easy, fast and WASM/WebGPU accelerated vector embedding for the web platform. Locally via ONNX/Transformers.js and via API. Compatible with Browsers, Workers, Web Extensions, Node.js & co.

Easy, fast and WASM/WebGPU accelerated vector embedding for the web platform. Locally via ONNX/Transformers.js and via API. Compatible with Browsers, Workers, Web Extensions, Node.js & co.

A lightweight and efficient vector database for storing and searching text embeddings in the browser's local storage. The package uses Transformers.js to generate embeddings for text documents and provides functionality for similarity search, filtering, a

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