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Merge pull request huggingface#10 from huggingface/sveltekit
Add SvelteKit example
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‎README.md‎

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A collection of [🤗 Transformers.js](https://huggingface.co/docs/transformers.js) demos and example applications.
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| Name | Description | Links |
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| ------------------------------------------------------- | ----------------------------------------------------------- | ------------------------------------------------------------------------------ |
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| [Phi-3.5 WebGPU](./phi-3.5-webgpu/) | Conversational large language model | [Demo](https://huggingface.co/spaces/webml-community/phi-3.5-webgpu) |
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| [Llama-3.2 WebGPU](./llama-3.2-webgpu/) | Conversational small language model | [Demo](https://huggingface.co/spaces/webml-community/llama-3.2-webgpu) |
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| [SmolLM WebGPU](./smollm-webgpu/) | Conversational small language model | [Demo](https://huggingface.co/spaces/webml-community/smollm-webgpu) |
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| [Segment Anything WebGPU](./segment-anything-webgpu/) | WebGPU image segmentation | [Demo](https://huggingface.co/spaces/webml-community/segment-anything-webgpu) |
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| [Remove Background WebGPU](./remove-background-webgpu/) | WebGPU image background removal | [Demo](https://huggingface.co/spaces/webml-community/remove-background-webgpu) |
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| [PGlite Semantic Search](./pglite-semantic-search/) | Semantic search | [Demo](https://huggingface.co/spaces/thorwebdev/pglite-semantic-search) |
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| [Sapiens](./sapiens-node/) | Image segmentation, depth, and normal estimation in Node.js | n/a |
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| [Bun](./bun/) | Compute text embeddings in [Bun](https://bun.sh/) | n/a |
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| [Deno](./deno-embed/) | Compute text embeddings in [Deno](https://deno.com/) | n/a |
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| [Node.js (ESM)](./node-esm/) | Sentiment analysis in Node.js w/ ECMAScript modules | n/a |
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| [Node.js (CJS)](./node-cjs/) | Sentiment analysis in Node.js w/ CommonJS | n/a |
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| [Next.js](./next-server/) | Sentiment analysis in Next.js | [Demo](https://huggingface.co/spaces/webml-community/next-server-template) |
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| Name | Description | Links |
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| ------------------------------------------------------- | ----------------------------------------------------------- | ------------------------------------------------------------------------------- |
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| [Phi-3.5 WebGPU](./phi-3.5-webgpu/) | Conversational large language model | [Demo](https://huggingface.co/spaces/webml-community/phi-3.5-webgpu) |
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| [Llama-3.2 WebGPU](./llama-3.2-webgpu/) | Conversational small language model | [Demo](https://huggingface.co/spaces/webml-community/llama-3.2-webgpu) |
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| [SmolLM WebGPU](./smollm-webgpu/) | Conversational small language model | [Demo](https://huggingface.co/spaces/webml-community/smollm-webgpu) |
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| [Segment Anything WebGPU](./segment-anything-webgpu/) | WebGPU image segmentation | [Demo](https://huggingface.co/spaces/webml-community/segment-anything-webgpu) |
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| [Remove Background WebGPU](./remove-background-webgpu/) | WebGPU image background removal | [Demo](https://huggingface.co/spaces/webml-community/remove-background-webgpu) |
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| [PGlite Semantic Search](./pglite-semantic-search/) | Semantic search | [Demo](https://huggingface.co/spaces/thorwebdev/pglite-semantic-search) |
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| [Sapiens](./sapiens-node/) | Image segmentation, depth, and normal estimation in Node.js | n/a |
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| [Bun](./bun/) | Compute text embeddings in [Bun](https://bun.sh/) | n/a |
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| [Deno](./deno-embed/) | Compute text embeddings in [Deno](https://deno.com/) | n/a |
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| [Node.js (ESM)](./node-esm/) | Sentiment analysis in Node.js w/ ECMAScript modules | n/a |
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| [Node.js (CJS)](./node-cjs/) | Sentiment analysis in Node.js w/ CommonJS | n/a |
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| [Next.js](./next-server/) | Sentiment analysis in Next.js | [Demo](https://huggingface.co/spaces/webml-community/next-server-template) |
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| [SvelteKit](./sveltekit/) | Sentiment analysis in SvelteKit | [Demo](https://huggingface.co/spaces/webml-community/sveltekit-server-template) |
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Check out the Transformers.js [template](https://huggingface.co/new-space?template=static-templates%2Ftransformers.js) on Hugging Face to get started in one click!

‎next-server/README.md‎

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# next-server
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This project, bootstrapped using generated by [`create-next-app`](https://github.com/vercel/next.js/tree/canary/packages/create-next-app), demonstrates how to use `@huggingface/transformers` in [Next.js](https://nextjs.org).
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This project, bootstrapped using [`create-next-app`](https://github.com/vercel/next.js/tree/canary/packages/create-next-app), demonstrates how to use `@huggingface/transformers` in [Next.js](https://nextjs.org).
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## Instructions
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‎next-server/app/api/classify/route.js‎

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import { pipeline } from "@huggingface/transformers";
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// NOTE: We attach the classifier to the global object to avoid loading it multiple times
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// NOTE: We attach the classifier to the global object to avoid unnecessary reloads during development
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const classifier = (globalThis.classifier ??= await pipeline(
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"text-classification",
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"Xenova/distilbert-base-uncased-finetuned-sst-2-english",
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));
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export async function GET(request) {
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// https://nextjs.org/docs/app/building-your-axpplication/routing/route-handlers#url-query-parameters
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const searchParams = request.nextUrl.searchParams;
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const text = searchParams.get("text");
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const text = request.nextUrl.searchParams.get("text");
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if (!text) {
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return Response.json({ message: "No text provided" }, { status: 400 });
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}
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const result = await classifier(text);
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return Response.json(result[0]);

‎next-server/package-lock.json‎

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‎next-server/package.json‎

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},
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"dependencies": {
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"@huggingface/transformers": "^3.0.0",
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"next": "15.0.0",
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"react": "19.0.0-rc-65a56d0e-20241020",
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"react-dom": "19.0.0-rc-65a56d0e-20241020"
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"next": "15.0.1",
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"react": "19.0.0-rc-69d4b800-20241021",
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"react-dom": "19.0.0-rc-69d4b800-20241021"
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},
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"devDependencies": {
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"eslint": "^9",

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