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28 packages found

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@huggingface/transformers

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

xenova
published version 3.3.3, a month ago46 dependents licensed under $Apache-2.0
274,180

@xenova/transformers

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

xenova
published version 2.17.2, 9 months ago111 dependents licensed under $Apache-2.0
318,127

chromadb-default-embed

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

jeff_chroma
published version 2.14.0, 3 days ago14 dependents licensed under $Apache-2.0
76,957

@echogarden/transformers-nodejs-lite

A highly reduced fork of the Xenova JavaScript port of 🤗 transformers. Node.js only, with a lot of functionality removed.

rotemdan
published version 2.17.1-lite.3, 10 months ago1 dependents licensed under $Apache-2.0
38,812

@lenml/tokenizers

a lightweight no-dependency fork of transformers.js (only tokenizers)

luke_zhang
published version 3.0.3, 4 months ago30 dependents licensed under $Apache-2.0
7,027

semantic-chunking

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

jparkerweb
published version 2.4.3, a month ago2 dependents licensed under $ISC
527

inference-server

Libraries and server to build AI applications. Adapters to various native bindings allowing local inference. Integrate it with your application, or use as a microservice.

limez
published version 1.0.0-beta.31, 9 days ago0 dependents licensed under $MIT
395

@fugood/transformers

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

hans00
published version 3.3.3-beta.1, 24 days ago1 dependents licensed under $Apache-2.0
413

transformers-fork

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

wanwenyan
published version 3.1.5, 3 months ago0 dependents licensed under $Apache-2.0
179

plast3y

A lightweight web application framework using GenAI and Node.js. deployable via CLI.

kunaalgad
published version 1.1.2, 3 days ago0 dependents licensed under $MIT
178

whisper-onnx-speech-to-text

Node.js plugin for speech recognition that works with OpenAI's Whisper models using ONNX.

alex-janashvili
published version 1.0.1, 2 years ago0 dependents licensed under $MIT
76

plasty

A lightweight web application framework using GenAI and Node.js.

kunaalgad
published version 1.0.1, 3 days ago0 dependents licensed under $MIT
55

lm_translator

large model translator

machut
published version 1.0.7, a year ago0 dependents licensed under $ISC
48

use-transformers

Easily use transformers.js with react in browser

deebl
published version 0.0.10, 2 months ago0 dependents licensed under $MIT
67

@sroussey/transformers

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

sroussey
published version 3.3.2, a month ago1 dependents licensed under $Apache-2.0
53

@flexpilot-ai/tokenizers

Node.js binding for huggingface/tokenizers library

mohankumarelec
published version 0.0.1, 5 months ago0 dependents licensed under $Apache-2.0
26

@ai-mask/sdk

**Bring local inference into your app !**

pacoccino
published version 0.9.0, a year ago0 dependents
17

contacted-chunking

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

contacted
published version 2.4.1, 2 months ago0 dependents licensed under $ISC
14

transformers-node

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

gokaybiz
published version 2.11.0, a year ago0 dependents licensed under $Apache-2.0
9

@gregnr/transformers

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

gregnr
published version 2.14.0-dev.2, a year ago0 dependents licensed under $Apache-2.0
7