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Xenova/long-t5-local-base
long-t5-local-base is a machine learning model from Xenova. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.js.
https://huggingface.co/google/long-t5-local-base with ONNX weights to be compatible with Transformers.js.
Downloads · 30 days
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7% of all-time downloads
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.onnx8.1 GB · 100%
From the Hugging Face model README
https://huggingface.co/google/long-t5-local-base with ONNX weights to be compatible with 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/long-t5-local-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).