Comments (1)
lixin4ever
commented on May 24, 2024
目前只有VL-only Video-LLaMA (也就是只有视觉分支的Video-LLaMA)支持中文, 可以尝试修改demo_video.py和video_llama_eval.yaml来运行本地demo并进行推理
需要注意的是，我们只是在第二阶段训练中加入了11K翻译后的指令微调数据，可能训练得不是很充分
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Related Issues (20)
- RuntimeError: Error(s) in loading state_dict for LlamaForCausalLM: size mismatch for model.embed_tokens.weight: copying a param with shape torch.Size([32001, 4096]) from checkpoint, the shape in current model is torch.Size([32000, 4096]). size mismatch for lm_head.weight: copying a param with shape torch.Size([32001, 4096]) from checkpoint, the shape in current model is torch.Size([32000, 4096]).
- Dear author, How much time does it cost to train this model？ With what type of GPU cards?
- Unable to access LLaMA weights to build Vicuna-7B HOT 1
- inf value occurs during forwarding process when fine-tuning VL branch with LLAVA-150K+MiniGPT4-3.5K+webvid-instruct HOT 1
- example model deployment
- A demo without gradio HOT 1
- multi-cards training
- Frame-aware? HOT 1
- Hugging Face demo runtime error HOT 1
- How to select the video encoder of the chinese version with BiLLA or Ziya ? HOT 2
- Incorrect model inference (what went wrong in my setup)
- What is the input sample of the forward function in videollama HOT 1
- 如何提升下游任务上finetune的效果
- How To: Use hugging face checkpoints downloaded on a CentOS machine HOT 4
- Unable to launch demo HOT 2
- Is video-LLaMA capable of comprehending videos that have faces surrounded by bounding boxes(face recognition)
- Evaluation on large-scale dataset
- Compatibility b/w torch and torchvision?
- .
- Possible bugs in LR scheduler
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