Model Inference Error on Transform

I trained the model with rmvpe-gpu through colab without GUI which is linked to my Google Drive.
I got these files in log folder

1- D_2333333.pth (~857 MB)
2- G_2333333.pth (~435 MB)
3- trained_IVF2593_Flat_nprobe_1_My-Model_v2.index (~8 MB)

4- added_IVF2593_Flat_nprobe_1_My-Model_v2.index (~ 320 MB)

So which one I have to use as transform in Model Inference.

Lastly If I Use GUI to download the Model by connecting to GDrive and try to use Model Inference then I am getting this error

2023-10-03 01:21:19 | WARNING | infer.modules.vc.modules | Traceback (most recent call last):
File "/content/drive/MyDrive/project-main/infer/modules/vc/modules.py", line 191, in vc_single
audio_opt = self.pipeline.pipeline(
File "/content/drive/MyDrive/project-main/infer/modules/vc/pipeline.py", line 410, in pipeline
self.vc(
File "/content/drive/MyDrive/project-main/infer/modules/vc/pipeline.py", line 238, in vc
npy = np.sum(big_npy[ix] * np.expand_dims(weight, axis=2), axis=1)
IndexError: index -1 is out of bounds for axis 0 with size 0

Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/gradio/queueing.py", line 388, in call_prediction
output = await route_utils.call_process_api(
File "/usr/local/lib/python3.10/dist-packages/gradio/route_utils.py", line 219, in call_process_api
output = await app.get_blocks().process_api(
File "/usr/local/lib/python3.10/dist-packages/gradio/blocks.py", line 1440, in process_api
data = self.postprocess_data(fn_index, result["prediction"], state)
File "/usr/local/lib/python3.10/dist-packages/gradio/blocks.py", line 1341, in postprocess_data
prediction_value = block.postprocess(prediction_value)
File "/usr/local/lib/python3.10/dist-packages/gradio/components/audio.py", line 349, in postprocess
file_path = self.audio_to_temp_file(
File "/usr/local/lib/python3.10/dist-packages/gradio/components/base.py", line 325, in audio_to_temp_file
temp_dir = Path(self.DEFAULT_TEMP_DIR) / self.hash_bytes(data.tobytes())
AttributeError: 'NoneType' object has no attribute 'tobytes'

Read infer/modules/vc/modules.py around vc_single and infer/modules/vc/pipeline.py around vc and pipeline, then reproduce the Model Inference path with the listed .pth and .index files. Done means establishing which model and index inputs are expected and obtaining a non-error audio result instead of the shown IndexError and NoneType failure.