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sheldonrobinson
/
siglip-large-patch16-256

Zero-Shot Image Classification
Transformers.js
ONNX
siglip
Model card Files Files and versions
xet
Community
1

Instructions to use sheldonrobinson/siglip-large-patch16-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers.js

    How to use sheldonrobinson/siglip-large-patch16-256 with Transformers.js:

    // npm i @huggingface/transformers
    import { pipeline } from '@huggingface/transformers';
    
    // Allocate pipeline
    const pipe = await pipeline('zero-shot-image-classification', 'sheldonrobinson/siglip-large-patch16-256');
siglip-large-patch16-256 / onnx
7.86 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Xenova's picture
Xenova HF Staff
Upload fp16 ONNX weights
88bed0b verified about 2 years ago
  • model.onnx
    1.15 MB
    xet
    Upload folder using huggingface_hub over 2 years ago
  • model.onnx_data
    2.61 GB
    xet
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  • model_quantized.onnx
    668 MB
    xet
    Upload folder using huggingface_hub over 2 years ago
  • text_model.onnx
    1.35 GB
    xet
    Upload folder using huggingface_hub over 2 years ago
  • text_model_fp16.onnx
    673 MB
    xet
    Upload fp16 ONNX weights about 2 years ago
  • text_model_quantized.onnx
    339 MB
    xet
    Upload folder using huggingface_hub over 2 years ago
  • vision_model.onnx
    1.26 GB
    xet
    Upload folder using huggingface_hub over 2 years ago
  • vision_model_fp16.onnx
    633 MB
    xet
    Upload fp16 ONNX weights about 2 years ago
  • vision_model_quantized.onnx
    328 MB
    xet
    Upload folder using huggingface_hub over 2 years ago