refactor-remove-is-single (#10)

- refactor: remove checking for single inputs (3dd1f9db83b070294f7fd184ba3bf2fb5dad46b5)

modeling_jina_embeddings_v4.py

@@ -398,7 +398,6 @@ class JinaEmbeddingsV4Model(Qwen2_5_VLForConditionalGeneration):
             prefix=encode_kwargs.pop("prefix"),
         )
 
-        is_single = len(texts) == 1
         embeddings = self._process_batches(
             data=texts,
             processor_fn=processor_fn,
@@ -408,7 +407,7 @@ class JinaEmbeddingsV4Model(Qwen2_5_VLForConditionalGeneration):
             **encode_kwargs,
         )
 
-        return embeddings[0] if is_single else embeddings
+        return embeddings
 
     def encode_images(
         self,
@@ -439,7 +438,6 @@ class JinaEmbeddingsV4Model(Qwen2_5_VLForConditionalGeneration):
 
         encode_kwargs = self._validate_encoding_params(vector_type, truncate_dim)
 
-        is_single = len(images) == 1
         embeddings = self._process_batches(
             data=images,
             processor_fn=self.processor.process_images,
@@ -452,7 +450,7 @@ class JinaEmbeddingsV4Model(Qwen2_5_VLForConditionalGeneration):
         if max_pixels:
             self.processor.image_processor.max_pixels = default_max_pixels
 
-        return embeddings[0] if is_single else embeddings
+        return embeddings
 
     @classmethod
     def from_pretrained(