LnL-AI/dbrx-instruct-tokenizer

Why should you use this and not the titotken included in the orignal model?

Original tokenizer pad vocabulary to correct size with <extra_N> tokens but encoder never uses them causing inconsistency and deterimental to training code that may want to use the unused <extra_N> tokens.

modified from original code @ https://huggingface.co/Xenova/dbrx-instruct-tokenizer

DBRX Instruct Tokenizer

A 🤗-compatible version of the DBRX Instruct (adapted from databricks/dbrx-instruct). 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/dbrx-instruct-tokenizer')
assert tokenizer.encode('hello world') == [15339, 1917]

Transformers.js

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

const tokenizer = await AutoTokenizer.from_pretrained('Xenova/dbrx-instruct-tokenizer');
const tokens = tokenizer.encode('hello world'); // [15339, 1917]