Update README.md

README.md

@@ -28,41 +28,7 @@ Please place the downloaded PDF files in the ./pdf directory.
 (You will need to create the jgraphqa directory if it does not already exist.)
 
 ### Optional
-- If you would like to evaluate r-g2-2024/Llama-3.1-70B-Instruct-multimodal-JP-Graph-v0.1, Please modify [lmms_eval/models/llava_onevision.py](https://github.com/EvolvingLMMs-Lab/lmms-eval/blob/main/lmms_eval/models/llava_onevision.py) as follows.
-  - Please add the following code below line [284](https://github.com/EvolvingLMMs-Lab/lmms-eval/blob/main/lmms_eval/models/llava_onevision.py#L284).
-```python
-                    # image_tensor = process_images(visual, self._image_processor, self._config)　# This part is already present in the original code
-                    inputs = self._image_processor(visual)
-                    image_tensor = torch.tensor(inputs['pixel_values']).to(dtype=torch.float16, device=self.device)
-                    image_tensor = [image_tensor]
-                    # if type(image_tensor) is list:
-                    #     image_tensor = [_image.to(dtype=torch.float16, device=self.device) for _image in image_tensor]
-                    # else:
-                    #     image_tensor = image_tensor.to(dtype=torch.float16, device=self.device)
-
-                    task_type = "image"　# This part is already present in the original code
-```
-  - Please add the following code below line [342](https://github.com/EvolvingLMMs-Lab/lmms-eval/blob/main/lmms_eval/models/llava_onevision.py#L342).
-```python
-                kwargs["image_sizes"] = [[v.size[0], v.size[1]] for v in visual] if isinstance(visual, list) else [[visual.size[0], visual.size[1]]]　# This part is already present in the original code
-                _image_grid_thw = torch.tensor(inputs['image_grid_thw'], dtype=torch.long)
-                kwargs["image_grid_thws"] = [_image_grid_thw]
-            elif task_type == "video":　# This part is already present in the original code
-```
-  - Please add the following code below line [455](https://github.com/EvolvingLMMs-Lab/lmms-eval/blob/main/lmms_eval/models/llava_onevision.py#L455).
-```python
-                        # image_tensor = process_images(visual, self._image_processor, self._config)　# This part is already present in the original code
-                        inputs = self._image_processor(visual)
-                        image_tensor = torch.tensor(inputs['pixel_values']).to(dtype=torch.float16, device=self.device)
-                        image_tensor = [image_tensor]
-                        if type(image_tensor) is list:　# This part is already present in the original code
-```
-  - Please add the following code below line [539](https://github.com/EvolvingLMMs-Lab/lmms-eval/blob/main/lmms_eval/models/llava_onevision.py#L539).
-```python
-                gen_kwargs["image_sizes"] = [batched_visuals[0][idx].size for idx in range(len(batched_visuals[0]))]　# This part is already present in the original code
-                _image_grid_thw = torch.tensor(inputs['image_grid_thw'], dtype=torch.long)
-                gen_kwargs["image_grid_thws"] = [_image_grid_thw]
-```
+- If you would like to evaluate r-g2-2024/Llama-3.1-70B-Instruct-multimodal-JP-Graph-v0.1, Please overwrite [lmms_eval/models/llava_onevision.py](https://github.com/EvolvingLMMs-Lab/lmms-eval/blob/main/lmms_eval/models/llava_onevision.py) with the attached "llava_onevision.py".
 
 
 ## Usage