Video-Text-to-Text
Transformers
TensorBoard
Safetensors
4DThinker
dynamic-spatial-reasoning
vision-language-model
latent-reasoning
Instructions to use jankin123/4DThinker-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jankin123/4DThinker-3B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jankin123/4DThinker-3B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update model card: add metadata, library tags, and repository links
#1
by nielsr HF Staff - opened
Hi! I'm Niels from the community science team at Hugging Face.
This PR improves the model card for 4DThinker by:
- Adding the
video-text-to-textpipeline tag for better discoverability. - Adding
library_name: transformersmetadata since the model is compatible with the library. - Linking the model card to the original paper and the official GitHub repository.
- Organizing the content for better readability while maintaining the existing technical details.
jankin123 changed pull request status to merged