README.md

---
library_name: transformers.js
base_model: facebook/MobileLLM-125M
---

https://huggingface.co/facebook/MobileLLM-125M with ONNX weights to be compatible with Transformers.js.


## Usage (Transformers.js)

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:
```bash
npm i @huggingface/transformers
```

**Example:** Text generation with `onnx-community/MobileLLM-125M`.

```js
import { pipeline } from "@huggingface/transformers";

// Create a text generation pipeline
const generator = await pipeline(
  "text-generation",
  "onnx-community/MobileLLM-125M",
  { dtype: "fp32" },
);

// Define the list of messages
const text = "Q: What is the capital of France?\nA: Paris\nQ: What is the capital of England?\nA:";

// Generate a response
const output = await generator(text, { max_new_tokens: 30 });
console.log(JSON.stringify(output[0].generated_text));
```

<details>

<summary>Example output</summary>

```
Q: What is the capital of France?
A: Paris
Q: What is the capital of England?
A: London
Q: What is the capital of Scotland?
A: Edinburgh
Q: What is the capital of Wales?
A: Cardiff
```
</details>


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`).