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Xenova/
table-transformer-detection

Name: table-transformer-detection
Availability: InStock

microsoft/table-transformer-detection

quantized

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https://huggingface.co/microsoft/table-transformer-detection with ONNX weights to be compatible with Transformers.js.

Usage (Transformers.js)

If you haven't already, you can install the Transformers.js JavaScript library from NPM using:

npm i @huggingface/transformers

Example: Run object-detection.

import { pipeline } from '@huggingface/transformers';

const detector = await pipeline('object-detection', 'Xenova/table-transformer-detection');
const img = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/cats.jpg';
const output = await detector(img, { threshold: 0.9 });

Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using 🤗 Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named onnx).