Comments (2)
Hi @hlh2023214,
Thank you for your interest in our work. Most probably, the issue could be related to the unsupported transformers version. Please follow the following steps and let me know if it resolves the issue.
# Stop the demo
pip install -r requirements.txt
# Run the demo again and verify if the issue is still there.
# If the issue persists, please try downloading the model checkpoints again from HuggingFace.
In case if it does not solve the issue, please share the output of conda list
command to further investigate. Thank You.
from video-chatgpt.
Hi @hlh2023214,
Thank you for your interest in our work. Most probably, the issue could be related to the unsupported transformers version. Please follow the following steps and let me know if it resolves the issue.
# Stop the demo pip install -r requirements.txt # Run the demo again and verify if the issue is still there. # If the issue persists, please try downloading the model checkpoints again from HuggingFace.
In case if it does not solve the issue, please share the output of
conda list
command to further investigate. Thank You.
My version of the transformer was consistent, but later I found out that the Llama model I used was incorrect. I was using the Llama-2-7b-hf, which is not the same as your version, hence the garbled phenomenon occurred. Thank you, my issue has been resolved.
from video-chatgpt.
Related Issues (20)
- Llava Weights not available for running demo offline HOT 2
- Can I deal with Chinese video? HOT 1
- Clarification Needed on the Role of **QA_GT_caption_based_noisy** in the Dataset HOT 1
- Why is OpenAI used for Activitynet-QA Evaluation? HOT 3
- About zero-shot test on TGIF-QA HOT 1
- Fail to execute Video-ChatGPT offline demo (when click "Upload Video") HOT 7
- Code for Dataset Generation HOT 1
- Train errors: some videos in train_video_ids.txt do not appear in activity_clip-14L_spatio_temporal_356 HOT 2
- What is the formal name of the benchmark? HOT 3
- GPT Judge does not work for the Prompt
- 13B, 70B models HOT 1
- RuntimeError: Internal: src/sentencepiece_processor.cc(1101) [model_proto->ParseFromArray(serialized.data(), serialized.size())] HOT 5
- I encountered an error while using "Run the Demo". HOT 3
- Insufficient VRAM on a single card, how to utilize multiple cards for inference HOT 2
- Question about consistency evaluation HOT 3
- Why TGIF videos missed and can't be processed HOT 3
- How to download the ready LLaVA-Lightening-7B weights HOT 5
- Download videos HOT 1
- How many frames are sampled per video for the training and testing process? HOT 5
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