Video-Text-to-Text
Transformers
Safetensors
English
medical
surgical
multimodal
audio
video
vision-language
qwen2-vl
whisper
colonoscopy
healthcare-ai
qlora
Instructions to use kulsoom-abdullah/surgvivqa-qwen7b-audio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kulsoom-abdullah/surgvivqa-qwen7b-audio with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kulsoom-abdullah/surgvivqa-qwen7b-audio", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Improve model card: add pipeline tag, library name, and paper link
#1
by nielsr HF Staff - opened
Hi! I'm Niels from the community science team at Hugging Face. I'm opening this PR to improve the metadata and documentation of your model:
- Updated the
pipeline_tagtovideo-text-to-textto better reflect the model's multimodal video understanding capabilities. - Added
library_name: transformersto enable automated code snippets and the "Use in Transformers" button. - Added a direct link to the associated research paper: SurgViVQA: Temporally-Grounded Video Question Answering for Surgical Scene Understanding.
- Cleaned up the documentation while preserving the existing technical details and usage examples.
Thank you!
kulsoom-abdullah changed pull request status to merged