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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("flow666/MLLM-4D", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Add model card for MLLM-4D
Verified signatureHi! 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-text` pipeline and `transformers` library. - 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.e9b02ef
-
Upload folder using huggingface_hub
Verified signature9abf948 -
initial commit
Verified signaturea1d846a