Instructions to use MBZUAI/Video-ChatGPT-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MBZUAI/Video-ChatGPT-7B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="MBZUAI/Video-ChatGPT-7B")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MBZUAI/Video-ChatGPT-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
metadata
license: cc-by-4.0
datasets:
- MBZUAI/Video-Instruct-Dataset
language:
- en
library_name: transformers
pipeline_tag: video-text-to-text
Video-ChatGPT is a video conversation model capable of generating meaningful conversation about videos. It combines the capabilities of LLMs with a pretrained visual encoder adapted for spatiotemporal video representation.