Transformers Packages

Convenient interface for utilizing various ranking models via API and locally.

Universal Re-Rankers Interface

Convenient interface for utilizing various embedding models via API and locally.

Convenient interface for utilizing various embedding models via API and locally.

Execute LLM from huggingface on mobile locally with onnxruntime.

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

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

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

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

<h1 align="center"> Hermes Profile Transformer </h1>

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

Node.js binding for huggingface/tokenizers library

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

A flexible and lightweight Alipay SDK for Node.js

A flexible and lightweight Paypal SDK for Node.js