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 • 7.61k • 50 -
microsoft/tapex-base-finetuned-wikisql
Table Question Answering • Updated • 379 • 16 -
microsoft/tapex-large-sql-execution
Table Question Answering • Updated • 216 • 16
models
291
microsoft/Phi-3-mini-4k-instruct-gguf
Text Generation
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37.4k
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208
microsoft/Phi-3-mini-128k-instruct-onnx
Text Generation
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Updated
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110
microsoft/Phi-3-mini-4k-instruct-onnx
Text Generation
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Updated
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54
microsoft/Phi-3-mini-128k-instruct
Text Generation
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Updated
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75.2k
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837
microsoft/Phi-3-mini-4k-instruct
Text Generation
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Updated
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65.2k
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357
microsoft/wavecoder-pro-6.7b
Text Generation
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Updated
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12
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6
microsoft/wavecoder-ultra-6.7b
Text Generation
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Updated
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312
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40
microsoft/wavecoder-ds-6.7b
Text Generation
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Updated
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24
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3
microsoft/phi-1_5
Text Generation
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Updated
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119k
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1.27k
microsoft/phi-1
Text Generation
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Updated
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23.9k
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189
datasets
9
microsoft/timewarp
Updated
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3
microsoft/orca-math-word-problems-200k
Viewer
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Updated
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2.28k
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290
microsoft/Taskbench
Updated
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4
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9
microsoft/kitab
Updated
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8
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9
microsoft/LCC_python
Viewer
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Updated
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250
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microsoft/LCC_java
Viewer
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Updated
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27
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3
microsoft/LCC_csharp
Viewer
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Updated
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31
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10
microsoft/CLUES
Preview
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Updated
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17
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4
microsoft/codexglue_method_generation
Preview
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Updated
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11
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