Add onnx

background_task.py

@@ -200,7 +200,7 @@ def get_models_list(filter_bad_models) -> list:
     models = []
     models_ids = []
     data = pd.read_csv(os.path.join(DATASET_REPO_URL, "resolve", "main", ELO_FILENAME))
-    models_on_hub = api.list_models(filter=["reinforcement-learning", "ml-agents", "ML-Agents-SoccerTwos"])
+    models_on_hub = api.list_models(filter=["reinforcement-learning", "ml-agents", "ML-Agents-SoccerTwos", "onnx"])
     for i, row in data.iterrows():
         model_id = row["author"] + "/" + row["model"]
         if model_id in filter_bad_models: