Instructions to use fun-research/Video-LLaVA-Seg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fun-research/Video-LLaVA-Seg with Transformers:
# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("fun-research/Video-LLaVA-Seg", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag, library name, and link to paper
#1
by nielsr HF Staff - opened
This PR improves the model card by adding the pipeline_tag and library_name metadata, making the model more discoverable on the Hub. It also explicitly links the model to the associated research paper.
Thanks!
Ali2500 changed pull request status to merged