Instructions to use fjmgAI/b1-R1-1.5B-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use fjmgAI/b1-R1-1.5B-ONNX with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-generation', 'fjmgAI/b1-R1-1.5B-ONNX');
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---
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library_name: transformers.js
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base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
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---
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https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B 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/@huggingface/transformers) using:
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```bash
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npm i @huggingface/transformers
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```
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**Example:** Text-generation w/ `onnx-community/DeepSeek-R1-Distill-Qwen-1.5B-ONNX`
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```js
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import { pipeline, TextStreamer } from "@huggingface/transformers";
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// Create a text generation pipeline
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const generator = await pipeline(
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"text-generation",
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"onnx-community/DeepSeek-R1-Distill-Qwen-1.5B-ONNX",
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{ dtype: "q4f16" },
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);
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// Define the list of messages
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const messages = [
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{ role: "user", content: "Solve the equation: x^2 - 3x + 2 = 0" },
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];
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// Create text streamer
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const streamer = new TextStreamer(generator.tokenizer, {
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skip_prompt: true,
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// callback_function: (text) => { }, // Optional callback function
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})
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// Generate a response
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const output = await generator(messages, { max_new_tokens: 512, do_sample: false, streamer });
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console.log(output[0].generated_text.at(-1).content);
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```
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<details>
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<summary>See example output</summary>
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```
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<think>
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To solve the quadratic equation \( x^2 - 3x + 2 = 0 \), I'll start by factoring the left-hand side. I need to find two numbers that multiply to 2 and add up to -3. These numbers are -1 and -2.
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Next, I'll rewrite the equation as \( (x - 1)(x - 2) = 0 \).
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Using the zero product property, I'll set each factor equal to zero:
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1. \( x - 1 = 0 \) leads to \( x = 1 \).
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2. \( x - 2 = 0 \) leads to \( x = 2 \).
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Therefore, the solutions to the equation are \( x = 1 \) and \( x = 2 \).
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</think>
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To solve the quadratic equation:
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\[
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x^2 - 3x + 2 = 0
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\]
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**Step 1: Factor the Quadratic**
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We look for two numbers that multiply to \( +2 \) and add up to \( -3 \). These numbers are \( -1 \) and \( -2 \).
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\[
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x^2 - 3x + 2 = (x - 1)(x - 2) = 0
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\]
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**Step 2: Apply the Zero Product Property**
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If the product of two factors is zero, at least one of the factors must be zero.
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\[
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x - 1 = 0 \quad \text{or} \quad x - 2 = 0
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\]
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**Step 3: Solve for \( x \)**
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\[
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x = 1 \quad \text{or} \quad x = 2
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\]
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**Final Answer:**
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\[
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\boxed{1 \text{ and } 2}
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\]
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```
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</details>
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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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