Instructions to use Jiaqi-hkust/Robust-U1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jiaqi-hkust/Robust-U1 with Transformers:
# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("Jiaqi-hkust/Robust-U1", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add model card metadata and link paper, code, and demo
#1
by nielsr HF Staff - opened
Hi! I'm Niels from the Hugging Face community team. This PR improves the model card for Robust-U1 by:
- Adding relevant metadata (
pipeline_tag: any-to-any,library_name: transformers). - Providing direct links to the official paper, GitHub repository, and the Hugging Face Space demo.
- Organizing the model description and citation for better discoverability and reference.
This helps researchers and users find and use your work more effectively on the Hub.
Thanks
Jiaqi-hkust changed pull request status to merged