metadata
base_model: google/mt5-base
library_name: transformers.js
https://huggingface.co/google/mt5-base 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-to-text generation.
import { pipeline } from '@huggingface/transformers';
const generator = await pipeline('text2text-generation', 'Xenova/mt5-base');
const output = await generator('how can I become more healthy?', {
max_new_tokens: 100,
});
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).