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  https://huggingface.co/qnguyen3/nanoLLaVA with ONNX weights to be compatible with Transformers.js.
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- ## Usage (Transformers.js)
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- > [!IMPORTANT]
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- > NOTE: nanoLLaVA support is experimental and requires you to install Transformers.js [v3](https://github.com/xenova/transformers.js/tree/v3) from source.
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- If you haven't already, you can install the [Transformers.js](https://huggingface.co/docs/transformers.js) JavaScript library from [GitHub](https://github.com/xenova/transformers.js/tree/v3) using:
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  ```bash
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- npm install xenova/transformers.js#v3
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  ```
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  **Example:**
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  ```js
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- import { AutoProcessor, AutoTokenizer, LlavaForConditionalGeneration, RawImage } from '@xenova/transformers';
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  // Load tokenizer, processor and model
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  const model_id = 'Xenova/nanoLLaVA';
 
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  https://huggingface.co/qnguyen3/nanoLLaVA 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:**
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  ```js
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+ import { AutoProcessor, AutoTokenizer, LlavaForConditionalGeneration, RawImage } from '@huggingface/transformers';
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  // Load tokenizer, processor and model
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  const model_id = 'Xenova/nanoLLaVA';