Instructions to use Xenova/tiny-random-RoFormerForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Xenova/tiny-random-RoFormerForTokenClassification with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('token-classification', 'Xenova/tiny-random-RoFormerForTokenClassification');
- Xet hash:
- 4b6b6a9e04f7decb8b9f75d6782a31241afc72888af6894145a7792ff6fe94b2
- Size of remote file:
- 1.84 MB
- SHA256:
- 1ac3fdf9981906bc394811898cd8e2a29fc7b5274cde4a3c32c42a7d2fb45a12
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