Instructions to use ACIDE/FailSense-Calvin-1p-3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ACIDE/FailSense-Calvin-1p-3b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ACIDE/FailSense-Calvin-1p-3b", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Improve model card and add metadata
#1
by nielsr HF Staff - opened
Hi! I'm Niels from the community science team at Hugging Face. I've updated your model card to include:
- Metadata for the
pipeline_tag,library_name, andbase_model. - Relevant tags for better discoverability.
- Links to the paper, project page, and official GitHub repository.
- A summary of the model architecture.
- A "Getting Started" section with evaluation instructions from your README.
- The BibTeX citation for your ICRA 2026 paper.