Update onnx.py

Fixed switched token_type_ids and attention_mask and made use of kwargs to make code less error prone in case something about the order of the arguments changes.

src/setfit/exporters/onnx.py

@@ -46,10 +46,10 @@ def __init__(
             self.pooler = pooler
         self.model_head = model_head
 
-    def forward(self, input_ids: torch.Tensor, attention_mask: torch.Tensor, token_type_ids: torch.Tensor):
-        hidden_states = self.model_body(input_ids, attention_mask, token_type_ids)
+    def forward(self, input_ids: torch.Tensor, token_type_ids: torch.Tensor, attention_mask: torch.Tensor):
+        hidden_states = self.model_body(input_ids=input_ids, token_type_ids=token_type_ids, attention_mask=attention_mask)
         hidden_states = {"token_embeddings": hidden_states[0], "attention_mask": attention_mask}
-
+        
         embeddings = self.pooler(hidden_states)
 
         # If the model_head is none we are using a sklearn head and only output