The SpeechT5 framework consists of a shared seq2seq and six modal-specific (speech/text) pre/post-nets that can address a few audio-related tasks.
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TAPEX is the state-of-the-art table pre-training models which can be used for table-based question answering and table-based fact verification.
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TAPEX: Table Pre-training via Learning a Neural SQL Executor
Paper • 2107.07653 • Published • 1 -
microsoft/tapex-large-finetuned-wtq
Table Question Answering • Updated • 6.88k • 40 -
microsoft/tapex-base-finetuned-wikisql
Table Question Answering • Updated • 309 • 16 -
microsoft/tapex-large-sql-execution
Table Question Answering • Updated • 168 • 14
models
277
microsoft/udop-large-512-300k
Image-Text-to-Text
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Updated
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808
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22
microsoft/udop-large
Image-Text-to-Text
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Updated
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5.61k
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78
microsoft/udop-large-512
Image-Text-to-Text
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Updated
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617
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4
microsoft/git-base-vqav2
Visual Question Answering
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Updated
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2.36k
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microsoft/DialoGPT-large
Text Generation
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Updated
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217k
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247
microsoft/DialoGPT-medium
Text Generation
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Updated
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165k
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285
microsoft/DialoGPT-small
Text Generation
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Updated
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32.8k
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79
microsoft/mpnet-base
Fill-Mask
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Updated
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26.6k
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30
microsoft/mothernet
Updated
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1
microsoft/deberta-v2-xlarge-mnli
Text Classification
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Updated
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1.71k
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5
datasets
8
microsoft/orca-math-word-problems-200k
Viewer
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Updated
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4.08k
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235
microsoft/Taskbench
Updated
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6
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5
microsoft/kitab
Updated
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1
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8
microsoft/LCC_python
Viewer
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Updated
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213
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8
microsoft/LCC_java
Viewer
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Updated
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59
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3
microsoft/LCC_csharp
Viewer
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Updated
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12
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8
microsoft/CLUES
Preview
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Updated
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3
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4
microsoft/codexglue_method_generation
Preview
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Updated
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16
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8