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Quivr/
text-embedding-ada-002

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Cloned from Xenova/text-embedding-ada-002

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.

Example 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

import { AutoTokenizer } from '@xenova/transformers';

const tokenizer = await AutoTokenizer.from_pretrained('Xenova/text-embedding-ada-002');
const tokens = tokenizer.encode('hello world'); // [15339, 1917]

Quivr/text-embedding-ada-002

text-embedding-ada-002 Tokenizer

Example usage:

Transformers/Tokenizers

Transformers.js

Quivr/
text-embedding-ada-002