Downloads · 30 days
2.8K
4% of all-time downloads
Xenova/bert-base-multilingual-uncased-sentiment
bert-base-multilingual-uncased-sentiment is a text classification model from Xenova. Use it when you need a label for a piece of text. It is set up for transformers.js.
https://huggingface.co/nlptown/bert-base-multilingual-uncased-sentiment with ONNX weights to be compatible with Transformers.js.
Downloads · 30 days
2.8K
4% of all-time downloads
All-time downloads
72.8K
Public
Repo size
2.8 GB
Likes
3
Public
Click a slice to open those files.
.onnx2.5 GB · 100%
From the Hugging Face model README
https://huggingface.co/nlptown/bert-base-multilingual-uncased-sentiment 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: Sentiment Classification.
import { pipeline } from '@huggingface/transformers';
const classifier = await pipeline('text-classification', 'Xenova/bert-base-multilingual-uncased-sentiment');
const output = await classifier('I love transformers!');
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).