Fix DeBERTa + Conversational pipeline slow tests (#10743)

* Fix DeBERTa-v2 variable assignment

* Fix conversational pipeline test

src/transformers/models/deberta_v2/modeling_deberta_v2.py

@@ -573,7 +573,7 @@ class DisentangledSelfAttention(torch.nn.Module):
         self.value_proj = nn.Linear(config.hidden_size, self.all_head_size, bias=True)
 
         self.share_att_key = getattr(config, "share_att_key", False)
-        self.pos_att_type = config.pos_att_type
+        self.pos_att_type = config.pos_att_type if config.pos_att_type is not None else []
         self.relative_attention = getattr(config, "relative_attention", False)
 
         if self.relative_attention:

src/transformers/pipelines/conversational.py

@@ -340,6 +340,6 @@ class ConversationalPipeline(Pipeline):
             # If the tokenizer cannot handle conversations, we default to only the old version
             input_ids = [self._legacy_parse_and_tokenize(conversation) for conversation in conversations]
         inputs = self.tokenizer.pad(
-            {"input_ids": input_ids}, padding="longest", return_attention_mask=True, return_tensors="pt"
+            {"input_ids": input_ids}, padding="longest", return_attention_mask=True, return_tensors=self.framework
         )
         return inputs