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 • 7.12k • 50 -
microsoft/tapex-base-finetuned-wikisql
Table Question Answering • Updated • 392 • 16 -
microsoft/tapex-large-sql-execution
Table Question Answering • Updated • 281 • 16
models
291
microsoft/Phi-3-mini-128k-instruct-onnx
Text Generation
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471
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133
microsoft/Phi-3-mini-4k-instruct-onnx
Text Generation
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Updated
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946
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63
microsoft/Phi-3-mini-128k-instruct
Text Generation
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Updated
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203k
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1.04k
microsoft/Phi-3-mini-4k-instruct
Text Generation
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Updated
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144k
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433
microsoft/phi-2
Text Generation
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971k
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3.13k
microsoft/phi-1_5
Text Generation
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119k
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1.27k
microsoft/phi-1
Text Generation
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17.9k
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191
microsoft/wavecoder-pro-6.7b
Text Generation
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14
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6
microsoft/wavecoder-ultra-6.7b
Text Generation
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Updated
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434
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44
microsoft/wavecoder-ds-6.7b
Text Generation
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28
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3
datasets
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microsoft/timewarp
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4
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3
microsoft/orca-math-word-problems-200k
Viewer
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5.26k
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304
microsoft/Taskbench
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4
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9
microsoft/kitab
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161
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microsoft/LCC_python
Viewer
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79
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microsoft/LCC_java
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30
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4
microsoft/LCC_csharp
Viewer
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20
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11
microsoft/CLUES
Preview
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4
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4
microsoft/codexglue_method_generation
Preview
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114
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