reduce weight class and model type sizes

app.py

@@ -29,8 +29,8 @@ OPTIMUM_TOKEN = os.environ.get("OPTIMUM_TOKEN", None)
 
 ALL_COLUMNS_MAPPING = {
     "best_scored_model": "Best Scored Model 🏆",
-    "model_type": "Model Type 🤗",
-    "weight_class": "Weight Class 🏋️",
+    "model_type": "Type 🤗",
+    "weight_class": "Class 🏋️",
     #
     "backend.name": "Backend 🏭",
     "backend.torch_dtype": "Dtype 📥",
@@ -107,8 +107,8 @@ def get_benchmark_table(bench_df):
     # rename
     bench_df.rename(columns=ALL_COLUMNS_MAPPING, inplace=True)
     # transform
-    bench_df["Model Type 🤗"] = bench_df["Model Type 🤗"].apply(process_model_type)
-    bench_df["Weight Class 🏋️"] = bench_df["Weight Class 🏋️"].apply(
+    bench_df["Type 🤗"] = bench_df["Type 🤗"].apply(process_model_type)
+    bench_df["Class 🏋️"] = bench_df["Class 🏋️"].apply(
         process_weight_class
     )
     bench_df["Best Scored Model 🏆"] = bench_df["Best Scored Model 🏆"].apply(