标题:VideoLLaMA 2 Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs 作者:Zesen Cheng, Sicong Leng, Hang Zhang, Yifei Xin, Xin Li,Guanzheng Chen, Yongxin Zhu, Wenqi Zhang, Z…
LlamaRotaryEmbedding(nn.Module): def __init__(self, dim, max_position_embeddings=2048, base=10000, device=None): super().__init__() self.dim = dim self.max_position_embeddings = max_position_embeddings self.base = base inv_freq ...
VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs - DAMO-NLP-SG/VideoLLaMA2
2.音频理解 3.音视频理解 初次接触多模态大模型,由于最近做任务使用到了利用videollama2对数据集做zreoshot,借此机会了解一下大模型,以这篇论文为引子,对于文章中不懂的概念,查询后通过*标注在下方。 Abstract: 在本文中,我们提出了VideoLLaMA2,这是一组视频大型语言模型(Video LLM),旨在增强面向视频和音频的任务...
File "/root/.cache/huggingface/modules/transformers_modules/cogvlm2-llama3-chinese-chat-19B-int4/modeling_cogvlm.py", line 387, in forward assert len(input_ids) == len(images), f"{len(input_ids)} {len(images)}" AssertionError: 2 1 ...
If you find VideoLLaMA useful for your research and applications, please cite using this BibTeX: @article{damonlpsg2024videollama2,title={VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs},author={Cheng, Zesen and Leng, Sicong and Zhang, Hang and Xin, Yi...