Instructions to use makoha/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use makoha/test with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-generation', 'makoha/test');
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Download README.md from makoha/test: direct link, hf CLI and curl.
- Browser
- Download file 1.07 kB
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https://huggingface.co/makoha/test/resolve/main/README.md
- Command line
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hf download hf://makoha/test/README.md
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curl -L -o README.md https://huggingface.co/makoha/test/resolve/main/README.md
1.07 kB
metadata
base_model: Maykeye/TinyLLama-v0
library_name: transformers.js
https://huggingface.co/Maykeye/TinyLLama-v0 with ONNX weights to be compatible with Transformers.js.
Usage (Transformers.js)
If you haven't already, you can install the Transformers.js JavaScript library from NPM using:
npm i @huggingface/transformers
Example: Text generation.
import { pipeline } from '@huggingface/transformers';
const generator = await pipeline('text-generation', 'Xenova/TinyLLama-v0');
const output = await generator('Once upon a time, there was', { max_new_tokens: 10 });
Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using 🤗 Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named onnx).