Instructions to use flow666/MLLM-4D with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flow666/MLLM-4D with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("flow666/MLLM-4D", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add model card for MLLM-4D
#1
by nielsr HF Staff - opened
Hi! I'm Niels from the Hugging Face community team. This PR adds a model card for MLLM-4D, which includes:
- Metadata for the
video-text-to-textpipeline andtransformerslibrary. - Links to the paper and official GitHub repository.
- A brief description of the model's capabilities in 4D spatiotemporal reasoning.
- Sample usage instructions for running inference as found in the repository.
- Citation information for the paper.
Thank you nielsr!
flow666 changed pull request status to merged