Hugging Face's logo

IVGSZ
/
Flash-VStream-7b

Text Generation
Transformers
PyTorch
vstream
vision-language model
llama
video understanding
Model card Files
xet
 Community
3
How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="IVGSZ/Flash-VStream-7b")
# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("IVGSZ/Flash-VStream-7b", dtype="auto")
Quick Links

Flash-VStream Model Card

Model details

We proposed Flash-VStream, a video-language model that simulates the memory mechanism of human. Our model is able to process extremely long video streams in real-time and respond to user queries simultaneously.

Training data

This model is trained based on image data from LLaVA-1.5 dataset, and video data from WebVid and ActivityNet datasets following LLaMA-VID, including

  • 558K filtered image-text pairs from LAION/CC/SBU, captioned by BLIP.
  • 158K GPT-generated multimodal instruction-following data.
  • 450K academic-task-oriented VQA data mixture.
  • 40K ShareGPT data.
  • 232K video-caption pairs sampled from the WebVid 2.5M dataset.
  • 98K videos from ActivityNet with QA pairs from Video-ChatGPT.

License

This project is licensed under the LLAMA 2 License.

Downloads last month
811
Inference Providers NEW
Text Generation
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Spaces using IVGSZ/Flash-VStream-7b 2

Paper for IVGSZ/Flash-VStream-7b