remove need to check whether the model needs to be exported

app.py

@@ -10,8 +10,6 @@ from tempfile import TemporaryDirectory
 
 from huggingface_hub.file_download import repo_folder_name
 from optimum.exporters import TasksManager
-
-from optimum.intel.utils.modeling_utils import _find_files_matching_pattern
 from optimum.intel import (
     OVModelForAudioClassification,
     OVModelForCausalLM,
@@ -85,13 +83,6 @@ def quantize_model(
             return f"The task '{task}' is not supported, only {_HEAD_TO_AUTOMODELS.keys()} tasks are supported"
 
         auto_model_class = _HEAD_TO_AUTOMODELS[task]
-        ov_files = _find_files_matching_pattern(
-            model_id,
-            pattern=r"(.*)?openvino(.*)?\_model.xml",
-            use_auth_token=oauth_token.token,
-        )
-        export = len(ov_files) == 0
-
         if calibration_dataset == "None":
             calibration_dataset = None
 
@@ -125,7 +116,6 @@ def quantize_model(
                 api.snapshot_download(repo_id=model_id, local_dir=folder, allow_patterns=["*.json"])
                 ov_model = eval(auto_model_class).from_pretrained(
                     model_id,
-                    export=export,
                     cache_dir=folder,
                     token=oauth_token.token,
                     quantization_config=quantization_config