feat: load unsupported model

app.py

@@ -72,7 +72,7 @@ def does_file_glob_exist(repo_id: str, glob: str) -> bool:
 
 
 def export_to_torch(model_id, create_pr, output_model_id):
-    model = SentenceTransformer(model_id, backend="torch")
+    model = SentenceTransformer(model_id, trust_remote_code=True, backend="torch")
     model.push_to_hub(
         repo_id=output_model_id,
         create_pr=create_pr,
@@ -84,7 +84,7 @@ def export_to_onnx(model_id: str, create_pr: bool, output_model_id: str, token:
     if does_file_glob_exist(output_model_id, "**/model.onnx"):
         raise FileExistsError("An ONNX model already exists in the repository")
 
-    model = SentenceTransformer(model_id, backend="onnx")
+    model = SentenceTransformer(model_id, trust_remote_code=True,backend="onnx")
     
     commit_message = "Add exported onnx model 'model.onnx'"
 
@@ -184,7 +184,7 @@ def export_to_onnx_dynamic_quantization(
     if does_file_glob_exist(output_model_id, f"onnx/model_qint8_{onnx_quantization_config}.onnx"):
         raise FileExistsError("The quantized ONNX model already exists in the repository")
     
-    model = SentenceTransformer(model_id, backend="onnx")
+    model = SentenceTransformer(model_id, trust_remote_code=True, backend="onnx")
 
     if not create_pr and is_new_model(output_model_id):
         model.push_to_hub(repo_id=output_model_id, token=token)
@@ -202,7 +202,8 @@ def export_to_onnx_dynamic_quantization(
         )
     except ValueError:
         # Currently, quantization with optimum has some issues if there's already an ONNX model in a subfolder
-        model = SentenceTransformer(model_id, backend="onnx", model_kwargs={"export": True})
+        model = SentenceTransformer(model_id, trust_remote_code=True
+                                    , backend="onnx", model_kwargs={"export": True})
         st_export_dynamic_quantized_onnx_model(
             model,
             quantization_config=onnx_quantization_config,
@@ -262,7 +263,7 @@ def export_to_onnx_optimization(model_id: str, create_pr: bool, output_model_id:
     if does_file_glob_exist(output_model_id, f"onnx/model_{onnx_optimization_config}.onnx"):
         raise FileExistsError("The optimized ONNX model already exists in the repository")
 
-    model = SentenceTransformer(model_id, backend="onnx")
+    model = SentenceTransformer(model_id, trust_remote_code=True, backend="onnx")
 
     if not create_pr and is_new_model(output_model_id):
         model.push_to_hub(repo_id=output_model_id, token=token)
@@ -329,7 +330,7 @@ def export_to_openvino(model_id: str, create_pr: bool, output_model_id: str, tok
     if does_file_glob_exist(output_model_id, "**/openvino_model.xml"):
         raise FileExistsError("The OpenVINO model already exists in the repository")
 
-    model = SentenceTransformer(model_id, backend="openvino")
+    model = SentenceTransformer(model_id, trust_remote_code=True, backend="openvino")
 
     commit_message = "Add exported openvino model 'openvino_model.xml'"
 
@@ -434,7 +435,7 @@ def export_to_openvino_static_quantization(
     if does_file_glob_exist(output_model_id, "openvino/openvino_model_qint8_quantized.xml"):
         raise FileExistsError("The quantized OpenVINO model already exists in the repository")
 
-    model = SentenceTransformer(model_id, backend="openvino")
+    model = SentenceTransformer(model_id, trust_remote_code=True, backend="openvino")
 
     if not create_pr and is_new_model(output_model_id):
         model.push_to_hub(repo_id=output_model_id, token=token)