style

src/adapters/models/llama/modeling_llama.py

@@ -57,7 +57,8 @@ def forward(
     ) -> Tuple[torch.Tensor, Optional[torch.Tensor], Optional[Tuple[torch.Tensor]]]:
         if "padding_mask" in kwargs:
             warnings.warn(
-                "Passing `padding_mask` is deprecated and will be removed in v4.37. Please make sure use `attention_mask` instead.`"
+                "Passing `padding_mask` is deprecated and will be removed in v4.37. Please make sure use"
+                " `attention_mask` instead.`"
             )
 
         bsz, q_len, _ = hidden_states.size()
@@ -97,9 +98,9 @@ def forward(
         if past_key_value is not None:
             if self.layer_idx is None:
                 raise ValueError(
-                    f"The cache structure has changed since version v4.36. If you are using {self.__class__.__name__} "
-                    "for auto-regressive decoding with k/v caching, please make sure to initialize the attention class "
-                    "with a layer index."
+                    "The cache structure has changed since version v4.36. If you are using"
+                    f" {self.__class__.__name__} for auto-regressive decoding with k/v caching, please make sure to"
+                    " initialize the attention class with a layer index."
                 )
             kv_seq_len += past_key_value.get_usable_length(kv_seq_len, self.layer_idx)
         cos, sin = self.rotary_emb(value_states, seq_len=kv_seq_len)