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Xenova
/
clip-vit-base-patch16

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

Instructions to use Xenova/clip-vit-base-patch16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers.js

    How to use Xenova/clip-vit-base-patch16 with Transformers.js:

    // npm i @huggingface/transformers
    import { pipeline } from '@huggingface/transformers';
    
    // Allocate pipeline
    const pipe = await pipeline('zero-shot-image-classification', 'Xenova/clip-vit-base-patch16');
clip-vit-base-patch16 / onnx
2.1 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 6 commits
Xenova's picture
Xenova HF Staff
Upload fp16 ONNX weights
9a1940e verified about 2 years ago
  • model.onnx
    599 MB
    xet
    Upload folder using huggingface_hub about 3 years ago
  • model_fp16.onnx
    300 MB
    xet
    Upload fp16 ONNX weights about 2 years ago
  • model_quantized.onnx
    152 MB
    xet
    Upload folder using huggingface_hub almost 3 years ago
  • text_model.onnx
    254 MB
    xet
    Upload 4 files almost 3 years ago
  • text_model_fp16.onnx
    127 MB
    xet
    Upload fp16 ONNX weights about 2 years ago
  • text_model_quantized.onnx
    64.5 MB
    xet
    Upload 4 files almost 3 years ago
  • vision_model.onnx
    345 MB
    xet
    Upload 4 files almost 3 years ago
  • vision_model_fp16.onnx
    173 MB
    xet
    Upload fp16 ONNX weights about 2 years ago
  • vision_model_quantized.onnx
    87.5 MB
    xet
    Upload 4 files almost 3 years ago