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 • 5.62k • 51 -
microsoft/tapex-base-finetuned-wikisql
Table Question Answering • Updated • 354 • 16 -
microsoft/tapex-large-sql-execution
Table Question Answering • Updated • 245 • 16
models
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microsoft/kosmos-2.5
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microsoft/Phi-3-mini-128k-instruct-onnx
Text Generation
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946
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148
microsoft/conditional-detr-resnet-50
Object Detection
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3.27k
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microsoft/wavecoder-ultra-6.7b
Text Generation
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869
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microsoft/Phi-3-mini-4k-instruct
Text Generation
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647k
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518
microsoft/Phi-3-mini-4k-instruct-onnx
Text Generation
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Updated
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1.42k
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70
microsoft/Phi-3-mini-128k-instruct
Text Generation
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415k
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1.19k
microsoft/phi-2
Text Generation
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877k
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3.15k
microsoft/phi-1_5
Text Generation
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126k
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1.28k
microsoft/phi-1
Text Generation
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13.4k
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193
datasets
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microsoft/timewarp
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3
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3
microsoft/orca-math-word-problems-200k
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4.07k
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321
microsoft/Taskbench
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microsoft/kitab
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154
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microsoft/LCC_python
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21
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microsoft/LCC_java
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21
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microsoft/LCC_csharp
Viewer
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microsoft/CLUES
Preview
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4
microsoft/codexglue_method_generation
Preview
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126
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