Fix issue of canine forward requiring input_ids anyway (#26290)

* fix issue of canine forward requires input_ids anyway

The `forward` requires `input_ids` for deriving other variables in all cases. Change this to use the given one between `input_ids` and `inputs_embeds`

* fix canine forward

The current `forward` requires (the shape of) `input_ids` for deriving other variables whenever `input_ids` or `inputs_embeds` is provided. Change this to use the given one instead of `input_ids` all the time.

* fix format

* fix format

src/transformers/models/canine/modeling_canine.py

@@ -1169,7 +1169,9 @@ class CanineModel(CaninePreTrainedModel):
         # Contextualize character embeddings using shallow Transformer.
         # We use a 3D attention mask for the local attention.
         # `input_char_encoding`: shape (batch_size, char_seq_len, char_dim)
-        char_attention_mask = self._create_3d_attention_mask_from_input_mask(input_ids, attention_mask)
+        char_attention_mask = self._create_3d_attention_mask_from_input_mask(
+            input_ids if input_ids is not None else inputs_embeds, attention_mask
+        )
         init_chars_encoder_outputs = self.initial_char_encoder(
             input_char_embeddings,
             attention_mask=char_attention_mask,