diff --git a/turbo_alignment/common/data/multimodal/common.py b/turbo_alignment/common/data/multimodal/common.py
index 01e124e..8f16577 100644
--- a/turbo_alignment/common/data/multimodal/common.py
+++ b/turbo_alignment/common/data/multimodal/common.py
@@ -1,6 +1,5 @@
 from pathlib import Path
 
-import h5py
 import torch
 
 from turbo_alignment.common.data.multimodal.image.base import BaseImageReader
@@ -14,11 +13,8 @@
 @AudioModalityReaderRegistry.register(ModalityReader.PICKLE)
 @ImageModalityReaderRegistry.register(ModalityReader.PICKLE)
 class FileReader(BaseImageReader):
-    @staticmethod
-    def _get_h5_file(path: Path) -> Path:
-        return list(path.glob('*.h5'))[0]  # FIXME: What if there is more than one h5 file?
+    def __init__(self, **_kwargs):
+        ...
 
     def read(self, path: str) -> torch.Tensor:
-        h5_file = self._get_h5_file(Path(path).parent)
-        with h5py.File(h5_file, 'r') as f:
-            return torch.tensor(f[Path(path).name])
+        return torch.load(path + '.image.clip.pt')
diff --git a/turbo_alignment/modeling/multimodal/encoders/image/clip.py b/turbo_alignment/modeling/multimodal/encoders/image/clip.py
index 4537689..32ffe32 100644
--- a/turbo_alignment/modeling/multimodal/encoders/image/clip.py
+++ b/turbo_alignment/modeling/multimodal/encoders/image/clip.py
@@ -23,12 +23,12 @@ def __init__(self, encoder_path: Path, model_clip: Optional[CLIPModel] = None, i
 
     @staticmethod
     def _get_clip_hidden_states(model_clip: CLIPModel, inputs: torch.Tensor, is_pickle: bool = False) -> torch.Tensor:
+        if is_pickle:
+            return inputs
+        # https://github.com/huggingface/transformers/blob/main/src/transformers/models/llava/modeling_llava.py#L213
+        # -2 is default value of vision_feature_layer in llava config
+        # [1:] is everything after vit [cls] token
         with torch.no_grad():
-            if is_pickle:
-                return inputs
-            # https://github.com/huggingface/transformers/blob/main/src/transformers/models/llava/modeling_llava.py#L213
-            # -2 is default value of vision_feature_layer in llava config
-            # [1:] is everything after vit [cls] token
             return model_clip.vision_model(inputs.squeeze(1), output_hidden_states=True).hidden_states[-2][
                 :, 1:
             ]  # FIXME: squeeze dimension?
diff --git a/turbo_alignment/pipelines/preprocessing/multimodal.py b/turbo_alignment/pipelines/preprocessing/multimodal.py
index 7959fb2..249a1ef 100644
--- a/turbo_alignment/pipelines/preprocessing/multimodal.py
+++ b/turbo_alignment/pipelines/preprocessing/multimodal.py
@@ -68,13 +68,16 @@ def _async_process_files(self, reader, encoder, files_paths, experiment_settings
                 for filename, encoded_output in batch_output.items():
                     torch.save(
                         encoded_output,
-                        experiment_settings.output_file_path / (filename
-                        + '.'
-                        + experiment_settings.modality.value
-                        + '.'
-                        + experiment_settings.encoder_settings.modality_encoder_type
-                        + '.pt'
-                    ))
+                        experiment_settings.output_file_path
+                        / (
+                            filename
+                            + '.'
+                            + experiment_settings.modality.value
+                            + '.'
+                            + experiment_settings.encoder_settings.modality_encoder_type
+                            + '.pt'
+                        ),
+                    )
             except Exception as exc:
                 logger.error(f'Error reading file: {exc}')