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/* eslint-disable no-restricted-globals */
import { pipeline } from '@huggingface/transformers';
class MyZeroShotClassificationPipeline {
static task = 'zero-shot-classification';
static model = 'MoritzLaurer/deberta-v3-xsmall-zeroshot-v1.1-all-33';
static instance = null;
static async getInstance(progress_callback = null) {
this.instance ??= pipeline(this.task, this.model, {
progress_callback
});
return this.instance;
}
}
// Listen for messages from the main thread
self.addEventListener('message', async (event) => {
// Retrieve the pipeline. When called for the first time,
// this will load the pipeline and save it for future use.
const classifier = await MyZeroShotClassificationPipeline.getInstance((x) => {
// We also add a progress callback to the pipeline so that we can
// track model loading.
self.postMessage({ status: 'progress', output: x });
});
const { text, labels } = event.data;
const split = text.split('\n');
for (const line of split) {
const output = await classifier(line, labels, {
hypothesis_template: 'This text is about {}.',
multi_label: true
});
// Send the output back to the main thread
self.postMessage({ status: 'output', output });
}
// Send the output back to the main thread
self.postMessage({ status: 'complete' });
});
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