Instructions to use acvlab/FantasyVLN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use acvlab/FantasyVLN with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("acvlab/FantasyVLN") model = AutoModelForMultimodalLM.from_pretrained("acvlab/FantasyVLN") - Notebooks
- Google Colab
- Kaggle
Add metadata and paper/code links for FantasyVLN
#1
by nielsr HF Staff - opened
Hi! I'm Niels, part of the community science team at Hugging Face.
I've opened this PR to improve the model card for FantasyVLN. This includes:
- Adding the
roboticspipeline tag. - Adding
library_name: transformersbased on the Qwen2.5-VL architecture. - Linking the paper, project page, and GitHub repository for better accessibility.
- Adding a BibTeX citation section.
Feel free to merge if this looks good!
frankjiang changed pull request status to merged
Thank you! I have merge it.