Video-Text-to-Text
Transformers
Safetensors
English
qwen2_5_vl
image-text-to-text
text-generation-inference
Instructions to use xiaoliux/AIGVE-MACS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xiaoliux/AIGVE-MACS with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("xiaoliux/AIGVE-MACS") model = AutoModelForImageTextToText.from_pretrained("xiaoliux/AIGVE-MACS") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag, library name, and paper link to model card
#1
by nielsr HF Staff - opened
This PR improves the model card by:
- Linking the model to its paper: AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation.
- Adding the
video-to-textpipeline tag, ensuring better discoverability on the Hugging Face Hub (https://huggingface.co/models?pipeline_tag=video-to-text). - Specifying
transformersas thelibrary_nameas the model is compatible with it.
xiaoliux changed pull request status to merged