%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
Transformers.js
Overview :
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.
Target Users :
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.
Use Cases
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.
Features
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.
Supports multimodal tasks like zero-shot image classification.
Runs models in the browser using ONNX Runtime, making it easy to convert pre-trained models into ONNX format.
Provides a pipeline API to simplify the input preprocessing and output post-processing of models.
How to Use
Install the transformers.js library by running 'npm install @xenova/transformers' through npm.
%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%230080ff;%20}%20%3c/style%3e%3c/defs%3e%3cpath%20class='st0'%20d='M16.2,11.1c.4.5.4,1.2,0,1.8l-4.7,7.1h-3.8l5.3-8L7.6,4h3.8l4.7,7.1Z'/%3e%3c/svg%3e)
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, image, or audio data to be processed.
Process the model output to obtain desired results, such as labels and confidence scores for text classification.
Display the results to the user or further process them according to the application scenario.
Featured AI Tools
Page Assist A Web UI For Local AI Models
Page Assist is a convenient web user interface that simplifies interaction with your local AI models. You can use it to interact with your local AI models within your browser, or as a web user interface for local AI model providers like Ollama Repo. Current features include sidebar task support, visual model support, a minimized local AI model web interface, internet search functionality, a sidebar PDF dialogue box, and document chat (PDF, CSV, TXT, MD formats).
AI Development Assistants
116.5K
Tribe AI
Tribe AI is a low-code tool that leverages the langgraph framework, allowing users to easily customize and coordinate intelligent agent teams. By allocating complex tasks to agents skilled in different domains, each agent can focus on what they do best, resulting in faster and more effective problem-solving.
AI Development Assistants
87.8K