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pufanyi commited on
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d598d7d
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1 Parent(s): 65654bf

chore: Remove commented out code for model information in utils.py

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Files changed (1) hide show
  1. src/display/utils.py +9 -9
src/display/utils.py CHANGED
@@ -30,15 +30,15 @@ auto_eval_column_dict.append(["average", ColumnContent, ColumnContent("Average
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  for task in Tasks:
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  auto_eval_column_dict.append([task.name, ColumnContent, ColumnContent(task.value.col_name, "number", True)])
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  # Model information
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- # auto_eval_column_dict.append(["model_type", ColumnContent, ColumnContent("Type", "str", False)])
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- # auto_eval_column_dict.append(["architecture", ColumnContent, ColumnContent("Architecture", "str", False)])
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- # auto_eval_column_dict.append(["weight_type", ColumnContent, ColumnContent("Weight type", "str", False, True)])
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- # auto_eval_column_dict.append(["precision", ColumnContent, ColumnContent("Precision", "str", False)])
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- # auto_eval_column_dict.append(["license", ColumnContent, ColumnContent("Hub License", "str", False)])
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- # auto_eval_column_dict.append(["params", ColumnContent, ColumnContent("#Params (B)", "number", False)])
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- # auto_eval_column_dict.append(["likes", ColumnContent, ColumnContent("Hub ❤️", "number", False)])
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- # auto_eval_column_dict.append(["still_on_hub", ColumnContent, ColumnContent("Available on the hub", "bool", False)])
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- # auto_eval_column_dict.append(["revision", ColumnContent, ColumnContent("Model sha", "str", False, False)])
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  # We use make dataclass to dynamically fill the scores from Tasks
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  AutoEvalColumn = make_dataclass("AutoEvalColumn", auto_eval_column_dict, frozen=True)
 
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  for task in Tasks:
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  auto_eval_column_dict.append([task.name, ColumnContent, ColumnContent(task.value.col_name, "number", True)])
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  # Model information
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+ auto_eval_column_dict.append(["model_type", ColumnContent, ColumnContent("Type", "str", False)])
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+ auto_eval_column_dict.append(["architecture", ColumnContent, ColumnContent("Architecture", "str", False)])
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+ auto_eval_column_dict.append(["weight_type", ColumnContent, ColumnContent("Weight type", "str", False, True)])
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+ auto_eval_column_dict.append(["precision", ColumnContent, ColumnContent("Precision", "str", False)])
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+ auto_eval_column_dict.append(["license", ColumnContent, ColumnContent("Hub License", "str", False)])
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+ auto_eval_column_dict.append(["params", ColumnContent, ColumnContent("#Params (B)", "number", False)])
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+ auto_eval_column_dict.append(["likes", ColumnContent, ColumnContent("Hub ❤️", "number", False)])
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+ auto_eval_column_dict.append(["still_on_hub", ColumnContent, ColumnContent("Available on the hub", "bool", False)])
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+ auto_eval_column_dict.append(["revision", ColumnContent, ColumnContent("Model sha", "str", False, False)])
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  # We use make dataclass to dynamically fill the scores from Tasks
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  AutoEvalColumn = make_dataclass("AutoEvalColumn", auto_eval_column_dict, frozen=True)