README.md

---
library_name: transformers
tags:
 - transformers.js
 - tokenizers
---

# Nemotron-4-340B-Instruct Tokenizer

A 🤗-compatible version of the **Nemotron-4-340B-Instruct** (adapted from [nvidia/Nemotron-4-340B-Instruct](https://huggingface.co/nvidia/Nemotron-4-340B-Instruct)). This means it can be used with Hugging Face libraries including [Transformers](https://github.com/huggingface/transformers), [Tokenizers](https://github.com/huggingface/tokenizers), and [Transformers.js](https://github.com/xenova/transformers.js).

## Example usage:

### Transformers/Tokenizers
```py
from transformers import PreTrainedTokenizerFast

tokenizer = PreTrainedTokenizerFast.from_pretrained('Xenova/Nemotron-4-340B-Instruct-Tokenizer')
assert tokenizer.encode('hello world') == [38150, 2268]
```

### Transformers.js
```js
import { AutoTokenizer } from '@xenova/transformers';

const tokenizer = await AutoTokenizer.from_pretrained('Xenova/Nemotron-4-340B-Instruct-Tokenizer');
const tokens = tokenizer.encode('hello world'); // [38150, 2268]
```