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');
Download onnx/model_quantized.onnx from kucukkanat/LFM2.5-Encoder-350M-Prompt-Router-ONNX: direct link, hf CLI and curl.
- Browser
- Download file 357 MB
-
https://huggingface.co/kucukkanat/LFM2.5-Encoder-350M-Prompt-Router-ONNX/resolve/main/onnx/model_quantized.onnx
- Command line
-
hf download hf://kucukkanat/LFM2.5-Encoder-350M-Prompt-Router-ONNX/onnx/model_quantized.onnx
-
curl -L -o model_quantized.onnx https://huggingface.co/kucukkanat/LFM2.5-Encoder-350M-Prompt-Router-ONNX/resolve/main/onnx/model_quantized.onnx
357 MB
- Xet hash:
- 96e97a8b872b885c5b2b2b0fcf3c4ed1c0c0b3aafc6964e2eefe5b88d6054a93
- Size of remote file:
- 357 MB
- SHA256:
- 353b79e0052f80bd4049542f55a487c6d418a79bc1a2e02f28e6c22f432afdc3
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