transformers.js

Run advanced machine learning models directly in the browser.

CommonProductProgrammingMachine LearningTransformers

transformers.js is a JavaScript library designed to offer advanced machine learning capabilities to web applications. It allows users to run pre-trained Transformers models directly in the browser without server support. The library utilizes ONNX Runtime as the backend, supporting the conversion of PyTorch, TensorFlow, or JAX models into ONNX format. transformers.js is equivalent in functionality to the Hugging Face transformers Python library, providing similar APIs to ease the migration of existing code to the web side.

Supports various natural language processing tasks such as text classification
named entity recognition
question answering
language models
summarization
and translation.
Supports computer vision tasks including image classification
object detection
and segmentation.
Supports audio tasks such as automatic speech recognition and audio classification.

Targeted at developers who wish to integrate machine learning capabilities into web applications
particularly those who need to perform model inference on the client side to reduce server load or handle privacy-sensitive data.

Implement real-time language translation on a webpage.
Perform automatic annotation and classification of image content through the browser.
Develop a web application with support for voice-to-text conversion.

Install the transformers.js library by running 'npm install @xenova/transformers' through npm.
Import the library into your project
for example using ES modules 'import { pipeline } from '@xenova/transformers';'.
Choose or configure the required model. Use the pipeline function to specify the model ID or path.
Perform model inference using the pipeline API by传入 the text

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