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.onnx_data_1 from onnx-community/open-jev-deberta-v3-large-ONNX: direct link, hf CLI and curl.
- Browser
- Download file 684 MB
-
https://huggingface.co/onnx-community/open-jev-deberta-v3-large-ONNX/resolve/main/onnx/model.onnx_data_1
- Command line
-
hf download hf://onnx-community/open-jev-deberta-v3-large-ONNX/onnx/model.onnx_data_1
-
curl -L -o model.onnx_data_1 https://huggingface.co/onnx-community/open-jev-deberta-v3-large-ONNX/resolve/main/onnx/model.onnx_data_1
684 MB
- Xet hash:
- cefd69f9c02ee28f1848fc28117d0bf7b5b7c105a68a77df3c718873f8a2278b
- Size of remote file:
- 684 MB
- SHA256:
- a15119f55a8e90de0194a23675817fc63605bbfa209a6f1175e0368e396c97a2
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