Instructions to use Xenova/tiny-random-RoFormerForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Xenova/tiny-random-RoFormerForSequenceClassification with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-classification', 'Xenova/tiny-random-RoFormerForSequenceClassification');
- Xet hash:
- e54098796e72984a32a467d91c4141ed1d18ca30b4b7a0d793543dfe21d98d3c
- Size of remote file:
- 6.61 MB
- SHA256:
- a3ab9df8174b1ad8e6db46eb05db43e418696cf2de3c0d7ef817a4fbb0c0bca7
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