Instructions to use kucukkanat/LFM2.5-Encoder-350M-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use kucukkanat/LFM2.5-Encoder-350M-ONNX with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('fill-mask', 'kucukkanat/LFM2.5-Encoder-350M-ONNX');
- Xet hash:
- 4891f637f1357d0e5efd0aa5a03b2a1819aa2bcfe03334a6751ddc871466cae0
- Size of remote file:
- 424 MB
- SHA256:
- 47aebe13dca289e5c671172afaa84480282b819d41d46c75ad2d2aa86a01132d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.