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 • 6.11k • 50 -
microsoft/tapex-base-finetuned-wikisql
Table Question Answering • Updated • 350 • 16 -
microsoft/tapex-large-sql-execution
Table Question Answering • Updated • 285 • 16
models
291
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microsoft/Phi-3-mini-4k-instruct
Text Generation
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213k
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460
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microsoft/Phi-3-mini-128k-instruct-onnx
Text Generation
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608
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136
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microsoft/Phi-3-mini-4k-instruct-onnx
Text Generation
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1.07k
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65
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microsoft/Phi-3-mini-128k-instruct
Text Generation
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275k
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1.1k
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microsoft/phi-2
Text Generation
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931k
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3.14k
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microsoft/phi-1_5
Text Generation
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113k
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1.27k
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microsoft/phi-1
Text Generation
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16k
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192
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microsoft/wavecoder-pro-6.7b
Text Generation
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15
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6
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microsoft/wavecoder-ultra-6.7b
Text Generation
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512
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48
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microsoft/wavecoder-ds-6.7b
Text Generation
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28
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datasets
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microsoft/timewarp
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4
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microsoft/orca-math-word-problems-200k
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4.93k
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microsoft/Taskbench
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microsoft/kitab
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microsoft/LCC_python
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microsoft/LCC_java
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microsoft/LCC_csharp
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microsoft/CLUES
Preview
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microsoft/codexglue_method_generation
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136
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