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.onnx from ayush1234/Mt0-base-quantized-onnx: direct link, hf CLI and curl.
- Browser
- Download file 1.99 GB
-
https://huggingface.co/ayush1234/Mt0-base-quantized-onnx/resolve/main/decoder_model.onnx
- Command line
-
hf download hf://ayush1234/Mt0-base-quantized-onnx/decoder_model.onnx
-
curl -L -o decoder_model.onnx https://huggingface.co/ayush1234/Mt0-base-quantized-onnx/resolve/main/decoder_model.onnx
1.99 GB
- Xet hash:
- af3527438162934b2da8b410a24cf2adf582b9950da877cb27429a4acfd5a2d9
- Size of remote file:
- 1.99 GB
- SHA256:
- 61eabe8efff2b90791a990d32c374913640cfb30237e3ad5774735a453e27515
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