Instructions to use Xenova/siglip-base-patch16-384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Xenova/siglip-base-patch16-384 with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('zero-shot-image-classification', 'Xenova/siglip-base-patch16-384');
Commit History
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Add/update the quantized ONNX model files and README.md for Transformers.js v3 (#1)
Verified signature- Add/update the quantized ONNX model files and README.md for Transformers.js v3 (deb99ba1040e4763608d562e88348ab9fe8dab54) Co-authored-by: Yuichiro Tachibana <whitphx@users.noreply.huggingface.co>055b1a2
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[Automated] Update base model metadata
Verified signatureSet base model to "google/siglip-base-patch16-384"55d88f2
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Upload fp16 ONNX weights
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Upload fp16 ONNX weights
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Upload fp16 ONNX weights
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Update README.md
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Upload tokenizer.json
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Upload folder using huggingface_hub
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Upload README.md with huggingface_hub
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initial commit
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