Video-Text-to-Text
Transformers
Safetensors
qwen3_vl
image-text-to-text
video-retrieval
temporal-grounding
videosearch-r1
Instructions to use VideoSearchR1/charades-stage2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VideoSearchR1/charades-stage2 with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("VideoSearchR1/charades-stage2") model = AutoModelForMultimodalLM.from_pretrained("VideoSearchR1/charades-stage2") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag, links to paper, project page, and repository
#1
by nielsr HF Staff - opened
This PR improves the model card by:
- Adding the
video-text-to-textpipeline tag to the YAML metadata. - Linking the model to the research paper on Hugging Face Papers.
- Adding links to the official project page and GitHub repository for easier navigation and codebase access.
happy8825 changed pull request status to merged