Create README.md

README.md

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+---
+library_name: transformers
+tags:
+ - transformers.js
+ - tokenizers
+---
+
+# text-embedding-ada-002 Tokenizer
+
+A 🤗-compatible version of the **text-embedding-ada-002 tokenizer** (adapted from [openai/tiktoken](https://github.com/openai/tiktoken)). 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 GPT2TokenizerFast
+
+tokenizer = GPT2TokenizerFast.from_pretrained('Xenova/text-embedding-ada-002')
+assert tokenizer.encode('hello world') == [15339, 1917]
+```
+
+### Transformers.js
+```js
+import { AutoTokenizer } from '@xenova/transformers';
+
+const tokenizer = await AutoTokenizer.from_pretrained('Xenova/text-embedding-ada-002');
+const tokens = tokenizer.encode('hello world'); // [15339, 1917]
+```