Markdown Tokenizer and Parser Overview This project is a lightweight Markdown tokenizer and parser built in Python. Its primary purpose is to take a raw Markdown (.md) file and convert it into ...

This project provides a Python-based tokenizer for processing and encoding text data. It includes functionalities for tokenizing text, encoding and decoding tokens, and managing a vocabulary.

Belladore , the developer of LLaMA-Tokenizer, said, ``One of the most popular tokenizer applications today is the one published by OpenAI. I don't understand why you're trying to count tokens with ...

Nov 12, 2022 10:00:00 ``Tokenizer'' that shows what kind of tokens prompts and spells for image generation AI are actually transmitted as tokens In recent years, there has been growing interest in ...

Text mining has emerged as a powerful strategy for extracting domain knowledge structure from large amounts of text data. To ...

In this paper, we propose FastMAE, an efficient MAE approach. Inspired by the idea of offline tokenizers in natural language processing, FastMAE presents a novel way to build an offline vision ...

To address this issue, we propose a superpixel-level contrastive tokenizer (SuperCoT) for masked HSI modeling. It performs mask prediction with superpixel-calibrated targets, enhancing representation ...