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 • 7.16k • 50 -
microsoft/tapex-base-finetuned-wikisql
Table Question Answering • Updated • 368 • 16 -
microsoft/tapex-large-sql-execution
Table Question Answering • Updated • 250 • 16
models
291
microsoft/Phi-3-mini-128k-instruct-onnx
Text Generation
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36
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124
microsoft/Phi-3-mini-4k-instruct-onnx
Text Generation
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Updated
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31
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63
microsoft/Phi-3-mini-128k-instruct
Text Generation
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103k
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954
microsoft/Phi-3-mini-4k-instruct
Text Generation
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88.9k
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406
microsoft/phi-2
Text Generation
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1.01M
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3.12k
microsoft/phi-1_5
Text Generation
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118k
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1.27k
microsoft/phi-1
Text Generation
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18.1k
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191
microsoft/Phi-3-mini-4k-instruct-gguf
Text Generation
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Updated
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51.7k
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247
microsoft/wavecoder-pro-6.7b
Text Generation
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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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357
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44
datasets
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microsoft/timewarp
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3
microsoft/orca-math-word-problems-200k
Viewer
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1.82k
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297
microsoft/Taskbench
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4
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microsoft/kitab
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microsoft/LCC_python
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85
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microsoft/LCC_java
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microsoft/LCC_csharp
Viewer
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28
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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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