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text-embedding-ada-002
Xenova/text-embedding-ada-002
text-embedding-ada-002 is a machine learning model from Xenova. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
A 🤗-compatible version of the text-embedding-ada-002 tokenizer (adapted from openai/tiktoken). This means it can be used with Hugging Face libraries including Transformers, Tokenizers, and Transformers.js.
Access
Public
Updated Aug 18, 2025
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.json6.2 MB · 87%
At a glance
- Library
- transformers
- Access
- Public
- Created
- Aug 4, 2023
- Updated
- Aug 18, 2025
- SHA
- f2069877
Model card
From the Hugging Face model README
text-embedding-ada-002 Tokenizer
A 🤗-compatible version of the text-embedding-ada-002 tokenizer (adapted from openai/tiktoken). This means it can be used with Hugging Face libraries including Transformers, Tokenizers, and Transformers.js.
Usage
Transformers/Tokenizers
from transformers import GPT2TokenizerFast
tokenizer = GPT2TokenizerFast.from_pretrained('Xenova/text-embedding-ada-002')
assert tokenizer.encode('hello world') == [15339, 1917]
Transformers.js
If you haven't already, you can install the Transformers.js JavaScript library from NPM using:
npm i @huggingface/transformers
import { AutoTokenizer } from '@huggingface/transformers';
const tokenizer = await AutoTokenizer.from_pretrained('Xenova/text-embedding-ada-002');
const tokens = tokenizer.encode('hello world'); // [15339, 1917]
- Library
- transformers
- Created
- Aug 4, 2023
- Updated
- Aug 18, 2025