Finetune model inference error

when I try to do the inference after fine-tuning getting this error.

`import sys
sys.path.append('./')
from videollama2 import model_init, mm_infer
from videollama2.utils import disable_torch_init

def inference():
disable_torch_init()

# Video Inference
modal = 'video'
modal_path = 'assets/cat_and_chicken.mp4'
instruct = 'What animals are in the video, what are they doing, and how does the video feel?'
# Reply:
# The video features a kitten and a baby chick playing together. The kitten is seen laying on the floor while the baby chick hops around. The two animals interact playfully with each other, and the video has a cute and heartwarming feel to it.

# Image Inference
modal = 'image'
modal_path = 'assets/sora.png'
instruct = 'What is the woman wearing, what is she doing, and how does the image feel?'
# Reply:
# The woman in the image is wearing a black coat and sunglasses, and she is walking down a rain-soaked city street. The image feels vibrant and lively, with the bright city lights reflecting off the wet pavement, creating a visually appealing atmosphere. The woman's presence adds a sense of style and confidence to the scene, as she navigates the bustling urban environment.

model_path = '/home/bingxing2/home/scx6md1/sep20vl2/VideoLLaMA2/work_dirs/videollama2/finetune_oeqr128nosm1'
# Base model inference (only need to replace model_path)
# model_path = 'DAMO-NLP-SG/VideoLLaMA2.1-7B-16F-Base'
model, processor, tokenizer = model_init(model_path)
output = mm_infer(processor[modal](modal_path), instruct, model=model, tokenizer=tokenizer, do_sample=False, modal=modal)

print(output)

if __name__ == "__main__":
inference()`



error



Start by reproducing the reported fine-tuned-model inference path in the provided inference() entry point, focusing on model_init and mm_infer from videollama2. Capture the full error text rather than relying on the attached image, compare with the documented base-model path, and confirm that video and image inference work with the fine-tuned model.

Written by the indexing model from the issue text.