84 lines
2.2 KiB
JavaScript
84 lines
2.2 KiB
JavaScript
//load Candle Bert Module wasm module
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let init, ModelEncoder;
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async function fetchArrayBuffer(url) {
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const cacheName = "t5-candle-cache";
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const cache = await caches.open(cacheName);
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const cachedResponse = await cache.match(url);
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if (cachedResponse) {
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const data = await cachedResponse.arrayBuffer();
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return new Uint8Array(data);
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}
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const res = await fetch(url, { cache: "force-cache" });
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cache.put(url, res.clone());
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return new Uint8Array(await res.arrayBuffer());
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}
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class Encoder {
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static instance = {};
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static async getInstance(weightsURL, tokenizerURL, configURL, modelID) {
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if (modelID.includes("quantized")) {
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({ default: init, ModelEncoder } = await import(
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"./build/m-quantized.js"
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));
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} else {
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({ default: init, ModelEncoder } = await import("./build/m.js"));
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}
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if (!this.instance[modelID]) {
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await init();
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self.postMessage({ status: "loading", message: "Loading Model" });
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const [weightsArrayU8, tokenizerArrayU8, configArrayU8] =
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await Promise.all([
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fetchArrayBuffer(weightsURL),
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fetchArrayBuffer(tokenizerURL),
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fetchArrayBuffer(configURL),
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]);
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this.instance[modelID] = new ModelEncoder(
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weightsArrayU8,
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tokenizerArrayU8,
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configArrayU8
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);
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} else {
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self.postMessage({ status: "ready", message: "Model Already Loaded" });
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}
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return this.instance[modelID];
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}
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}
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self.addEventListener("message", async (event) => {
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const {
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weightsURL,
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tokenizerURL,
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configURL,
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modelID,
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sentences,
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normalize_embeddings,
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} = event.data;
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try {
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self.postMessage({ status: "ready", message: "Starting T5 Encoder" });
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const model = await Encoder.getInstance(
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weightsURL,
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tokenizerURL,
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configURL,
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modelID
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);
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self.postMessage({
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status: "encoding",
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message: "Encoding Sentences",
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});
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const output = model.decode({
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sentences: sentences,
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normalize_embeddings: normalize_embeddings || true,
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});
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self.postMessage({
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status: "complete",
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message: "complete",
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output: output,
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});
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} catch (e) {
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self.postMessage({ error: e });
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}
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});
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