Instructions to use Xenova/deit-base-distilled-patch16-384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Xenova/deit-base-distilled-patch16-384 with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('image-classification', 'Xenova/deit-base-distilled-patch16-384');
Commit History
-
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 (463f6ace005c63a93cd6b10dcd2f0e606b1a62cb) Co-authored-by: Yuichiro Tachibana <whitphx@users.noreply.huggingface.co>163d650
-
[Automated] Update base model metadata
Verified signatureSet base model to "facebook/deit-base-distilled-patch16-384"277774f
-
Upload fp16 ONNX weights
Verified signaturef93c6d1 -
Upload fp16 ONNX weights
Verified signature190b8f9
-
Upload folder using huggingface_hub
17d39ec -
Upload README.md with huggingface_hub
c4bd7be -
initial commit
1372f0d