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T5

T5

Foundation modelT5

Text-to-Text Transfer Transformer

Release date: 2019-10-23Updated: 2023-03-13 10:15:51.744875
Live demoGitHubHugging FaceCompare
Parameters
11B
Context length
2K
Chinese support
Not supported
Reasoning ability

Text-to-Text Transfer Transformer is an AI model published by Google Research, released on 2019-10-23, for Foundation model, with 11B parameters, and 2K context length, requiring about 21GB storage.

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

T5

Model basics

Reasoning traces
Not supported
Thinking modes
Thinking modes not supported
Context length
2K tokens
Max output length
No data
Model type
Foundation model
Modality (in / out)
No data
Release date
2019-10-23
Model file size
21GB
MoE architecture
No
Total params / Active params
11B / N/A
Knowledge cutoff
No data
T5

Open source & experience

Code license
No data
Weights license
No data
GitHub repo
GitHub link unavailable
Hugging Face
Hugging Face link unavailable
Live demo
No live demo
T5

Official resources

Paper
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
DataLearnerAI blog
No blog post yet
T5

API details

API speed
No data
No public API pricing yet.
T5

Benchmark Results

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T5

Publisher

Google Research
View publisher details
Text-to-Text Transfer Transformer

Model Overview

Text-to-Text Transfer Transformer is an AI model published by Google Research, released on 2019-10-23, for Foundation model, with 11B parameters, and 2K context length, requiring about 21GB storage.

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