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@@ -52,6 +52,30 @@ You need to use separate code, audio, text, and natural language together with t
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  ### Model Description
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  --
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  This model, named `Evolutionary Multi-Modal Model`, is a multimodal transformer designed to handle a variety of tasks including vision and audio processing. It is built on top of the `adapter-transformers` and `transformers` libraries and is intended to be a versatile base model for both direct use and fine-tuning.
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  ### Model Description
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  --
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+ ###############################################
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+ from ucimlrepo import fetch_ucirepo
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+ -
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+ # fetch dataset
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+ breast_cancer_wisconsin_original = fetch_ucirepo(id=15)
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+ -
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+ # data (as pandas dataframes)
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+ X = breast_cancer_wisconsin_original.data.features
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+ y = breast_cancer_wisconsin_original.data.targets
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+ -
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+ # metadata
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+ print(breast_cancer_wisconsin_original.metadata)
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+ -
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+ # variable information
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+ print(breast_cancer_wisconsin_original.variables)
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+ --
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+ ##########################################################
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+ -
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+ # 0 0.93 0.99 0.96 79
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+ # 1 0.98 0.90 0.94 58
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+ --
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+ #accuracy 0.95 137
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+ --
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+ --
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  This model, named `Evolutionary Multi-Modal Model`, is a multimodal transformer designed to handle a variety of tasks including vision and audio processing. It is built on top of the `adapter-transformers` and `transformers` libraries and is intended to be a versatile base model for both direct use and fine-tuning.
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