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Transformers.js is a JavaScript library designed for object detection tasks. Built on top of the popular Transformers library by Hugging Face, it allows developers to integrate state-of-the-art models into web applications. The library simplifies the process of loading models, preprocessing inputs, and making predictions directly in the browser. Transformers.js is ideal for identifying and classifying objects within images efficiently.
• Model Loading: Easily load pre-trained models from the Hugging Face Model Hub.
• Inference in Browser: Run object detection models directly in the browser without backend setup.
• Integration: Works seamlessly with TensorFlow.js and other popular frontend libraries.
• Extensible: Customize workflows with built-in hooks for preprocessing, postprocessing, and data augmentation.
• Browser Support: Compatible with modern browsers, enabling deployment across various platforms.
npm install @huggingface/transformers
const { AutoFeatureExtractor, AutoModel } = require('@huggingface/transformers');
const model = await AutoModel.load('facebook-detr-resnet-50');
const featureExtractor = await AutoFeatureExtractor.load('facebook-detr-resnet-50');
const inputs = await featureExtractor.close(true);
const outputs = model.predict(inputs);
const result = await outputs.print();
console.log(result);
What is Transformers.js used for?
Transformers.js is primarily used for object detection tasks, enabling developers to identify objects within images using pre-trained models.
Do I need machine learning expertise to use Transformers.js?
No, Transformers.js simplifies the integration of models, making it accessible even for developers without extensive machine learning expertise.
Which models are supported by Transformers.js?
Transformers.js supports a wide range of pre-trained models from the Hugging Face Model Hub, including popular architectures like DETR and Faster R-CNN.