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gptkbp:instance_of
|
gptkb:Ford_Model_T
|
|
gptkbp:application
|
natural language processing
|
|
gptkbp:architecture
|
gptkb:Transformers
|
|
gptkbp:available_on
|
gptkb:Hugging_Face_Model_Hub
|
|
gptkbp:can_be_used_for
|
gptkb:translator
question answering
text generation
text summarization
text classification
|
|
gptkbp:developed_by
|
gptkb:Google_Research
|
|
gptkbp:focus_area
|
gptkb:true
|
|
gptkbp:has_variants
|
gptkb:T5-large
gptkb:T5-base
gptkb:T5-11_B
gptkb:T5-3_B
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
T5-small
|
|
gptkbp:input_output
|
gptkb:text
|
|
gptkbp:is_benchmarking_model_for
|
NLP tasks
|
|
gptkbp:is_compatible_with
|
gptkb:Tensor_Flow
gptkb:Py_Torch
|
|
gptkbp:is_documented_in
|
research papers
online tutorials
technical blogs
Git Hub repositories
|
|
gptkbp:is_evaluated_by
|
gptkb:SQu_AD
gptkb:MNLI
WSC
standard benchmarks
RTE
QQP
|
|
gptkbp:is_known_for
|
scalability
ease of use
flexibility in tasks
state-of-the-art performance
|
|
gptkbp:is_open_source
|
gptkb:true
|
|
gptkbp:is_part_of
|
gptkb:T5_family
gptkb:Hugging_Face_Transformers_library
|
|
gptkbp:is_popular_in
|
NLP community
|
|
gptkbp:is_supported_by
|
community contributions
|
|
gptkbp:is_tasked_with
|
text-to-text transfer
|
|
gptkbp:is_trained_in
|
large-scale datasets
self-supervised learning
C4 dataset
|
|
gptkbp:is_used_by
|
gptkb:developers
gptkb:researchers
data scientists
|
|
gptkbp:is_used_in
|
research papers
industry applications
|
|
gptkbp:language
|
English
|
|
gptkbp:mission
|
denoising autoencoder
|
|
gptkbp:orbital_period
|
60 million
|
|
gptkbp:performance
|
gptkb:GLUE_benchmark
|
|
gptkbp:release_year
|
gptkb:2020
|
|
gptkbp:successor
|
gptkb:T5-base
|
|
gptkbp:supports
|
multiple languages
|
|
gptkbp:tuning
|
possible
|
|
gptkbp:uses
|
transfer learning
|
|
gptkbp:bfsParent
|
gptkb:Transformers
|
|
gptkbp:bfsLayer
|
4
|