Instructions to use wenzhengzeng/D2VLM-Models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wenzhengzeng/D2VLM-Models with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("wenzhengzeng/D2VLM-Models", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add metadata and paper/code links
#1
by nielsr HF Staff - opened
This PR improves the model card by adding relevant metadata and links to the official research paper and code repository.
Specifically, it adds:
pipeline_tag: video-text-to-textfor better categorization.library_name: transformersto enable automated code snippets.- Links to the paper Factorized Learning for Temporally Grounded Video-Language Models and the GitHub repository.
- A BibTeX citation for the research paper.
wenzhengzeng changed pull request status to merged