Instructions to use RASMUS/FrogNano-4B-2609-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use RASMUS/FrogNano-4B-2609-ONNX with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-generation', 'RASMUS/FrogNano-4B-2609-ONNX');
Download tokenizer.json from RASMUS/FrogNano-4B-2609-ONNX: direct link, hf CLI and curl.
- Browser
- Download file 12.8 MB
-
https://huggingface.co/RASMUS/FrogNano-4B-2609-ONNX/resolve/main/tokenizer.json
- Command line
-
hf download hf://RASMUS/FrogNano-4B-2609-ONNX/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/RASMUS/FrogNano-4B-2609-ONNX/resolve/main/tokenizer.json
12.8 MB
- Xet hash:
- 655d3f6803c619aa34c31a027ce74a315eaa200aad3fca5b968dcdf6485bfba2
- Size of remote file:
- 12.8 MB
- SHA256:
- 5f9e4d4901a92b997e463c1f46055088b6cca5ca61a6522d1b9f64c4bb81cb42
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.