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JasonYANG170
/
multilingual-e5-small-ONNX

Feature Extraction
Transformers.js
ONNX
bert
easyeda
quantized
Model card Files Files and versions
xet
Community

Instructions to use JasonYANG170/multilingual-e5-small-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers.js

    How to use JasonYANG170/multilingual-e5-small-ONNX with Transformers.js:

    // npm i @huggingface/transformers
    import { pipeline } from '@huggingface/transformers';
    
    // Allocate pipeline
    const pipe = await pipeline('feature-extraction', 'JasonYANG170/multilingual-e5-small-ONNX');
multilingual-e5-small-ONNX / conversion
28.9 kB
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  • 1 contributor
History: 1 commit
JasonYANG170's picture
JasonYANG170
Publish independently exported q8 model with browser validation
9a046f0 verified about 1 month ago
  • browser-check.mjs
    4.72 kB
    Publish independently exported q8 model with browser validation about 1 month ago
  • export_standard.py
    2.49 kB
    Publish independently exported q8 model with browser validation about 1 month ago
  • models.json
    1.36 kB
    Publish independently exported q8 model with browser validation about 1 month ago
  • pipeline.py
    3.93 kB
    Publish independently exported q8 model with browser validation about 1 month ago
  • prepare_tokenizer.py
    1.48 kB
    Publish independently exported q8 model with browser validation about 1 month ago
  • requirements-standard.lock.txt
    877 Bytes
    Publish independently exported q8 model with browser validation about 1 month ago
  • sources.lock.json
    9.91 kB
    Publish independently exported q8 model with browser validation about 1 month ago
  • tools.lock.json
    205 Bytes
    Publish independently exported q8 model with browser validation about 1 month ago
  • validate_standard.py
    3.94 kB
    Publish independently exported q8 model with browser validation about 1 month ago