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:
- 193fee77e6b3dcf7f3c4b79dcf88446fa048b9f6e8624dcc1a28af5928d02a3f
- Size of remote file:
- 1.92 MB
- SHA256:
- 6dc40a660a7e5e59c7878255c9b3da2444431d35e3fcaa25d276c89d9ad0679e
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