Video-Text-to-Text
Transformers
Safetensors
English
qwen3
text-generation
video-understanding
long-video-understanding
agentic-llm
video-question-answering
vision-language-model
grpo
reinforcement-learning
icml-2026
text-generation-inference
Instructions to use CewEhao/VideoSEAL_8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CewEhao/VideoSEAL_8B with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("CewEhao/VideoSEAL_8B") model = AutoModelForCausalLM.from_pretrained("CewEhao/VideoSEAL_8B") - Notebooks
- Google Colab
- Kaggle
Add paper link and citation
#1
by nielsr HF Staff - opened
This PR improves the model card by:
- Linking the model to its official research paper: VideoSEAL: Mitigating Evidence Misalignment in Agentic Long Video Understanding by Decoupling Answer Authority.
- Adding a paper badge to the header for better visibility.
- Adding a BibTeX citation section to facilitate proper attribution for researchers.