Instructions to use Xenova/resnet-50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Xenova/resnet-50 with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('image-classification', 'Xenova/resnet-50');
- Xet hash:
- 0fd04286a78068e2bdcd993ece7140ce2136fc117975cad6df36cf7b21d1cf39
- Size of remote file:
- 25.8 MB
- SHA256:
- 5cece77e014d3ff4b7175767614d448fc50b7804e9e8d47d192f69e357fdb232
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