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_q4.onnx_data from onnx-community/open-jev-deberta-v3-large-ONNX: direct link, hf CLI and curl.
- Browser
- Download file 477 MB
-
https://huggingface.co/onnx-community/open-jev-deberta-v3-large-ONNX/resolve/main/onnx/model_q4.onnx_data
- Command line
-
hf download hf://onnx-community/open-jev-deberta-v3-large-ONNX/onnx/model_q4.onnx_data
-
curl -L -o model_q4.onnx_data https://huggingface.co/onnx-community/open-jev-deberta-v3-large-ONNX/resolve/main/onnx/model_q4.onnx_data
477 MB
- Xet hash:
- 4c17c1e8b7f0475448e2abbf8190ac2603cac7a6e7347d7c8192f655ccd54bcf
- Size of remote file:
- 477 MB
- SHA256:
- 886cf56af0dd14b6938415af724eb48e5a5d5db3c728c05b50702585c0ea29ab
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