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import { pipeline, env } from "@xenova/transformers"; | |
export class FlanPipeline { | |
static task = "text2text-generation"; | |
static model = "Xenova/LaMini-Flan-T5-783M"; | |
static instance = null; | |
static async getInstance(progress_callback = null) { | |
if (this.instance === 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) => { | |
let pipe = await FlanPipeline.getInstance((x) => { | |
self.postMessage(x); | |
}); | |
let output = await pipe(event.data.text, { | |
max_new_tokens: 256, | |
callback_function: (x) => { | |
self.postMessage({ | |
status: "update", | |
output: pipe.tokenizer.decode(x[0].output_token_ids, { skip_special_tokens: true }), | |
}); | |
}, | |
}); | |
// Send the output back to the main thread | |
self.postMessage({ | |
status: "complete", | |
output: output, | |
searchID: event.data.searchID, | |
}); | |
}); | |