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:
- f26e7901b3d84b6f1b4311a32637148ddb934b06940d92dbf167f25cdc46d74e
- Size of remote file:
- 6.72 MB
- SHA256:
- 185ee3b82c1db8abb6e65eae03d71b4513196ae803e4a8dc8e046e9079677d69
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