Instructions to use Xenova/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Xenova/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7 with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('zero-shot-classification', 'Xenova/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7');
- Xet hash:
- 52d1937ebe62e4c35edda1a7537b33c71ffbd65a8694bb5fe5e09a29307869b9
- Size of remote file:
- 16.3 MB
- SHA256:
- e23095eb61ba944c7be3a5d3e8ec19e37ce7ced0daa03550bde03e83c21b3f8a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.