Instructions to use lazycodepersona/m2m100_418m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use lazycodepersona/m2m100_418m with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('translation', 'lazycodepersona/m2m100_418m');
Download onnx/encoder_model_quantized.onnx from lazycodepersona/m2m100_418m: direct link, hf CLI and curl.
- Browser
- Download file 288 MB
-
https://huggingface.co/lazycodepersona/m2m100_418m/resolve/main/onnx/encoder_model_quantized.onnx
- Command line
-
hf download hf://lazycodepersona/m2m100_418m/onnx/encoder_model_quantized.onnx
-
curl -L -o encoder_model_quantized.onnx https://huggingface.co/lazycodepersona/m2m100_418m/resolve/main/onnx/encoder_model_quantized.onnx
288 MB
- Xet hash:
- 6aaf524da8ccc2829326a7653d0398ebda5209ae33276d4bafe450c80451817f
- Size of remote file:
- 288 MB
- SHA256:
- 13a94e354a9140764eb81102d77d3ec6952d796e6f113c651eeb3c3443da0386
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