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Xenova/electra-small-discriminator
electra-small-discriminator is a feature extraction model from Xenova. Use it when you need embeddings to search or compare text. It is set up for transformers.js.
https://huggingface.co/google/electra-small-discriminator with ONNX weights to be compatible with Transformers.js.
Downloads · 30 days
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6% of all-time downloads
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From the Hugging Face model README
https://huggingface.co/google/electra-small-discriminator with ONNX weights to be compatible with Transformers.js.
If you haven't already, you can install the Transformers.js JavaScript library from NPM using:
npm i @huggingface/transformers
Example: Feature extraction w/ Xenova/electra-small-discriminator.
import { pipeline } from '@huggingface/transformers';
// Create feature extraction pipeline
const extractor = await pipeline('feature-extraction', 'Xenova/electra-small-discriminator');
// Perform feature extraction
const output = await extractor('This is a test sentence.');
console.log(output)
// Tensor {
// dims: [ 1, 8, 256 ],
// type: 'float32',
// data: Float32Array(2048) [ 0.5410046577453613, 0.18386700749397278, ... ],
// size: 2048
// }
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).