bert-base-NER / README.md
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Add/update the quantized ONNX model files and README.md for Transformers.js v3 (#1)
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metadata
base_model: dslim/bert-base-NER
library_name: transformers.js

https://huggingface.co/dslim/bert-base-NER 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: Perform named entity recognition.

import { pipeline } from '@huggingface/transformers';

const classifier = await pipeline('token-classification', 'Xenova/bert-base-NER');
const output = await classifier('My name is Sarah and I live in London');

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).