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README.md
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https://huggingface.co/stabilityai/stablelm-2-zephyr-1_6b with ONNX weights to be compatible with Transformers.js.
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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](https://huggingface.co/docs/optimum/index) and structuring your repo like this one (with ONNX weights located in a subfolder named `onnx`).
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https://huggingface.co/stabilityai/stablelm-2-zephyr-1_6b with ONNX weights to be compatible with Transformers.js.
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## Usage (Transformers.js)
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If you haven't already, you can install the [Transformers.js](https://huggingface.co/docs/transformers.js) JavaScript library from [NPM](https://www.npmjs.com/package/@xenova/transformers) using:
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```bash
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npm i @xenova/transformers
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```
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**Example:** Text generation with `Xenova/stablelm-2-zephyr-1_6b`.
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```js
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import { pipeline } from '@xenova/transformers';
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// Create text generation pipeline
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const generator = await pipeline('text-generation', 'Xenova/stablelm-2-zephyr-1_6b');
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// Define the prompt and list of messages
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const prompt = "Tell me a funny joke."
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const messages = [
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{ "role": "system", "content": "You are a helpful assistant." },
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{ "role": "user", "content": prompt },
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]
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// Apply chat template
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const inputs = generator.tokenizer.apply_chat_template(messages, {
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tokenize: false,
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add_generation_prompt: true,
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});
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// Generate text
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const output = await generator(inputs, { max_new_tokens: 20 });
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console.log(output[0].generated_text);
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// "<|system|>\nYou are a helpful assistant.\n<|user|>\nTell me a funny joke.\n<|assistant|>\nHere's a joke for you:\n\nWhy don't scientists trust atoms?\n\nBecause they make up everything!"
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```
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---
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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](https://huggingface.co/docs/optimum/index) and structuring your repo like this one (with ONNX weights located in a subfolder named `onnx`).
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