Instructions to use onnx-community/open-jev-deberta-v3-large-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use onnx-community/open-jev-deberta-v3-large-ONNX with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-classification', 'onnx-community/open-jev-deberta-v3-large-ONNX');
Download onnx/model_q4f16.onnx_data from onnx-community/open-jev-deberta-v3-large-ONNX: direct link, hf CLI and curl.
- Browser
- Download file 348 MB
-
https://huggingface.co/onnx-community/open-jev-deberta-v3-large-ONNX/resolve/main/onnx/model_q4f16.onnx_data
- Command line
-
hf download hf://onnx-community/open-jev-deberta-v3-large-ONNX/onnx/model_q4f16.onnx_data
-
curl -L -o model_q4f16.onnx_data https://huggingface.co/onnx-community/open-jev-deberta-v3-large-ONNX/resolve/main/onnx/model_q4f16.onnx_data
348 MB
- Xet hash:
- 706dcfaded39e9eb46a0a69bd42d6313ab5e53268ca36a856cc80cb2edf8e583
- Size of remote file:
- 348 MB
- SHA256:
- 89bd9c644c621e3d79fbd1de6bb03e622c38e1dd42e11ab8acece8a236c3481f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.