Instructions to use kucukkanat/LFM2.5-Encoder-350M-Prompt-Router-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-Prompt-Router-ONNX with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('zero-shot-classification', 'kucukkanat/LFM2.5-Encoder-350M-Prompt-Router-ONNX');
- Xet hash:
- 224bf58c5733c50f9a1cc121452a77fd396eb7161e6906c333e32346865d0014
- Size of remote file:
- 449 MB
- SHA256:
- ac624f7a15ee59888603170573aa39f16268ccdd7d86117f60737f45cc86840a
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