Instructions to use ayush1234/Mt0-base-quantized-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use ayush1234/Mt0-base-quantized-onnx with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-generation', 'ayush1234/Mt0-base-quantized-onnx');
Download decoder_model_quantized.onnx from ayush1234/Mt0-base-quantized-onnx: direct link, hf CLI and curl.
- Browser
- Download file 498 MB
-
https://huggingface.co/ayush1234/Mt0-base-quantized-onnx/resolve/main/decoder_model_quantized.onnx
- Command line
-
hf download hf://ayush1234/Mt0-base-quantized-onnx/decoder_model_quantized.onnx
-
curl -L -o decoder_model_quantized.onnx https://huggingface.co/ayush1234/Mt0-base-quantized-onnx/resolve/main/decoder_model_quantized.onnx
498 MB
- Xet hash:
- 9fa74f4711be7e104027caeac874c5d311d2cbb5a3d1ab2174b6f84f72aafd1b
- Size of remote file:
- 498 MB
- SHA256:
- faa12dcc54877cd62c192616dbb891e91d3f408907c06b5e422554d549f75024
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