@nuecms/weapp-sdk
A flexible and lightweight WeChat Mini Program SDK for Node.js
0.1.1 • Published 11 months ago
Transformers Packages
@nuecms/wx-oa-sdk
A flexible and lightweight WeChat Official Accounts SDK for Node.js
@huggingface/transformers
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
@intertwine/transformers.js
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
@flexpilot-ai/tokenizers
Node.js binding for huggingface/tokenizers library
@elpassion/semantic-chunking
Semantically create chunks from large texts. Useful for workflows involving large language models (LLMs).
@fugood/transformers
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
@future-scholars/transformers
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
@sroussey/transformers
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
easy-embeddings
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-emebddings
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.
embeddings-vector-storage
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
@casret/transformers
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
@cheatoid/ts-plugins
General-purpose TypeScript plugins/transformers
@balena/transformers-core
Core logic and types for working with transformers
@balena/transformers-lib
Logic for evaluating and executing transformers
@babycommando/entity-db
EntityDB is an in-browser vector database wrapping indexedDB and Transformers.js
@bperel/transformers
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
chromadb-default-embed
Chroma's fork of @xenova/transformers serving as our default embedding function
contacted-chunking
Semantically create chunks from large texts. Useful for workflows involving large language models (LLMs).