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markdownnn
/
recall-granite-q8

Feature Extraction
Transformers.js
ONNX
English
Korean
xlm-roberta
quantized
int8
embeddings
on-device
Model card Files Files and versions
xet
Community

Instructions to use markdownnn/recall-granite-q8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers.js

    How to use markdownnn/recall-granite-q8 with Transformers.js:

    // npm i @huggingface/transformers
    import { pipeline } from '@huggingface/transformers';
    
    // Allocate pipeline
    const pipe = await pipeline('feature-extraction', 'markdownnn/recall-granite-q8');
recall-granite-q8
124 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
markdownnn's picture
markdownnn
Add model card (attribution + quantization recipe)
b5e1e31 verified 14 days ago
  • onnx
    Add granite-107m int8 (self-quantized) for Recall on-device search 14 days ago
  • .gitattributes
    1.57 kB
    Add granite-107m int8 (self-quantized) for Recall on-device search 14 days ago
  • README.md
    1.69 kB
    Add model card (attribution + quantization recipe) 14 days ago
  • config.json
    633 Bytes
    Add granite-107m int8 (self-quantized) for Recall on-device search 14 days ago
  • tokenizer.json
    17.1 MB
    xet
    Add granite-107m int8 (self-quantized) for Recall on-device search 14 days ago
  • tokenizer_config.json
    1.2 kB
    Add granite-107m int8 (self-quantized) for Recall on-device search 14 days ago