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 • 2 -
microsoft/tapex-large-finetuned-wtq
Table Question Answering • Updated • 8.28k • 50 -
microsoft/tapex-base-finetuned-wikisql
Table Question Answering • Updated • 729 • 16 -
microsoft/tapex-large-sql-execution
Table Question Answering • Updated • 216 • 15
models
286
microsoft/rho-math-7b-interpreter-v0.1
Text Generation
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Updated
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181
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23
microsoft/rho-math-1b-interpreter-v0.1
Text Generation
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Updated
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166
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4
microsoft/rho-math-7b-v0.1
Text Generation
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Updated
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352
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10
microsoft/rho-math-1b-v0.1
Text Generation
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Updated
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793
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microsoft/phi-2
Text Generation
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Updated
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900k
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3.08k
microsoft/phi-1_5
Text Generation
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110k
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1.26k
microsoft/phi-1
Text Generation
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27k
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186
microsoft/layoutlm-base-uncased
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1.6M
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31
microsoft/wavecoder-ultra-6.7b
Text Generation
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Updated
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109
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22
microsoft/wavecoder-pro-6.7b
Text Generation
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Updated
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3
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4
datasets
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microsoft/timewarp
Updated
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3
microsoft/orca-math-word-problems-200k
Viewer
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4.01k
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280
microsoft/Taskbench
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4
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9
microsoft/kitab
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8
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microsoft/LCC_python
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Updated
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271
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microsoft/LCC_java
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36
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microsoft/LCC_csharp
Viewer
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39
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microsoft/CLUES
Preview
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17
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microsoft/codexglue_method_generation
Preview
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