# Closed-book QA

T5 Small Ssm
Apache-2.0
Google's T5 model achieves closed-book QA through pre-training, capable of answering questions without relying on external knowledge sources
Large Language Model English
T
google
88
2
T5 Large Ssm Nqo
Apache-2.0
T5-large-ssm-nqo is a closed-book QA model based on the T5 architecture, achieving knowledge retrieval and question answering through pretraining and fine-tuning.
Question Answering System English
T
google
16
1
T5 Xxl Ssm
Apache-2.0
A closed-book QA model based on the T5 architecture, pre-trained with denoising and salient span masking objectives, suitable for QA tasks without external knowledge sources.
Large Language Model Transformers English
T
google
16
4
T5 Small Ssm Nq
Apache-2.0
T5-small-ssm-nq is a small closed-book QA model based on the T5 architecture, pre-trained and fine-tuned on C4, Wikipedia, and Natural Questions (NQ) datasets.
Question Answering System English
T
google
300
1
Triviaqa T5 Base
A trivia QA model based on T5-base architecture, achieving closed-book QA capability through context-free training
Question Answering System Transformers English
T
deep-learning-analytics
79
3
T5 Large Ssm Nq
Apache-2.0
Google's T5 model, specifically designed for closed-book QA tasks, achieving high performance on natural questions through multi-stage training.
Question Answering System English
T
google
330
5
T5 3b Ssm Nq
Apache-2.0
T5-3b-ssm-nq is a closed-book QA model based on the T5 architecture, achieving knowledge retrieval and QA capabilities through pretraining and fine-tuning.
Question Answering System Transformers English
T
google
15
0
T5 11b Ssm Nq
Apache-2.0
T5-11b-ssm-nq is a large language model based on the T5 architecture, specifically designed for closed-book question answering tasks. Through pretraining and fine-tuning, this model can answer questions without external knowledge sources.
Question Answering System Transformers English
T
google
14
0
T5 Xl Ssm Nq
Apache-2.0
T5-xl-ssm-nq is a closed-book QA model based on the T5 architecture, excelling in natural questions through pretraining and fine-tuning.
Question Answering System Transformers English
T
google
16
1
T5 Large Ssm
Apache-2.0
A closed-book QA model based on T5 architecture, achieving retrieval-free question answering through pretraining and incremental training
Large Language Model English
T
google
75
3
T5 Xxl Ssm Nq
Apache-2.0
T5-xxl SSM NQ is a closed-book QA model based on the T5 architecture, achieving knowledge storage and retrieval through pretraining and fine-tuning.
Question Answering System Transformers English
T
google
17
1
T5 Xxl Ssm Tqa
Apache-2.0
Google's T5 model for closed-book QA tasks, achieving high performance through pretraining and fine-tuning on the Trivia QA dataset.
Question Answering System Transformers English
T
google
19
2
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