ImportError: cannot import name 'LlamaFlashAttention2' from 'transformers.models.llama.modeling_llama' (/home/pzz/miniconda3/lib/python3.12/site-packages/transformers/models/llama/modeling_llama.py). Did you mean: 'LlamaAttention'? 👍7amssss0, GLaStu, XMan-CN-SG-JP, SHARKALAKALA, mohayl, ...
ImportError Traceback (most recent call last) Cell In[43], line 11 6 except ImportError: 7 LlamaFlashAttention2 = None # or assign a fallback implementation ---> 11 from deepseek_vl2.models import DeepseekVLV2ForCausalLM 12 from deepseek...
当前的 Video-LLMs 存在处理时间动态和音频整合不足的问题,限制了其对多模态视频数据的全面理解。为应对这些挑战,VideoLLaMA 2 引入了时空卷积连接器(STC Connector)和音频分支,通过改进的时空建模与音频理解提升模型性能,特别是在视频问答和视频字幕生成任务上表现出色,设立了新的多模态视频分析系统标准。 模型分析 Vi...
Novelty:VideoLLaMA 2 在其前身的基础上集成了定制的时空卷积连接器 (STC) ,可有效捕获视频数据复杂的空间和时间动态。 此外,通过联合训练将音频分支集成到模型中,从而通过无缝合并音频提示来丰富模型的多模态理解能力。 实现细节 VideoLLaMA 2 集成了由视觉语言分支和音频分支组成的双分支框架。 两个分支独立运行,不...
from transformers import LlamaTokenizer, LlamaPreTrainedModel, LlamaForCausalLM, AutoModel, PreTrainedTokenizerFast, TextIteratorStreamer from transformers.models.idefics2.modeling_idefics2 import Idefics2VisionTransformer from .configuration_minicpm import MiniCPMVConfig ...
"""largely copy from llama forward and adapt for cogvlm with `token_type_ids`""" output_attentions = output_attentions if output_attentions is not None else self.config.output_attentions output_hidden_states = ( output_hidden_states if output_hidden_states is not None else self.config....
VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs - DAMO-NLP-SG/VideoLLaMA2
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 ...
我们的VideoLLaMA2建立在LLaVA 1.5库的基础上(Liu et al.,2023a)。始终使用clip-large-336作为视觉编码器,并使用微调BEATs_iter3+(AS2M)(cpt2)作为音频编码器。VideoLLaMA2(7B)和VideoLLaMA 2(8x7B)的语言解码器分别初始化为Mistral-7B-Instruct7和Mixtral-8x7B-Instruct 8。在预训练和微调期间,我们不进行...
from transformers import LlamaTokenizer, LlamaPreTrainedModel, LlamaForCausalLM, AutoModel, PreTrainedTokenizerFast from transformers.models.idefics2.modeling_idefics2 import Idefics2VisionTransformer from .configuration_minicpm import MiniCPMVConfig