Instructions to use ekazakos/grove with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ekazakos/grove with Transformers:
# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("ekazakos/grove", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Improve model card: Add library name, project page, abstract, and news section
#2
by nielsr HF Staff - opened
This PR enhances the model card by:
- Adding
library_name: transformersto the metadata. - Including the paper's abstract for better understanding.
- Adding a link to the project page: https://ekazakos.github.io/grounded_video_caption_generation/.
- Incorporating a "News" section.
Thank you! Looks great.
ekazakos changed pull request status to merged