Instructions to use Xenova/deit-base-distilled-patch16-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Xenova/deit-base-distilled-patch16-224 with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('image-classification', 'Xenova/deit-base-distilled-patch16-224');
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 (f88c08150e4ff72e6588602a50d17d41b7c57ad2) Co-authored-by: Yuichiro Tachibana <whitphx@users.noreply.huggingface.co>0166831
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[Automated] Update base model metadata
Verified signatureSet base model to "facebook/deit-base-distilled-patch16-224"a3b8a35
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Upload fp16 ONNX weights
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Upload fp16 ONNX weights
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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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