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Reformer Enwik8

Developed by google
A character-level Reformer language model trained on the enwik8 dataset, designed for text generation and compression tasks.
Downloads 637
Release Time : 3/2/2022

Model Overview

This model is a character-level language model trained on the enwik8 dataset, primarily used for text generation and compression tasks. It operates directly at the character level without requiring a tokenizer.

Model Features

Character-level operation
Processes text directly at the character level, eliminating the need for a tokenizer and simplifying preprocessing steps.
Efficient training
Utilizes the Reformer architecture, optimized for handling long sequences, making it suitable for processing large chunks of text.
Text compression capability
Trained on the enwik8 dataset, it exhibits strong text compression capabilities.

Model Capabilities

Text generation
Text compression

Use Cases

Text generation
Auto-completion
Generates subsequent content based on input text fragments.
Produces coherent text continuations.
Data compression
Text compression
Uses the model to compress text data.
Performs well in compression tasks such as the Hutter Prize.
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