Instructions to use juyil/spatial-b8-16act-2token-60ksteps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use juyil/spatial-b8-16act-2token-60ksteps with Transformers:
# Load model directly from transformers import AutoModelForVision2Seq model = AutoModelForVision2Seq.from_pretrained("juyil/spatial-b8-16act-2token-60ksteps", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add robotics pipeline tag, library_name, license, and links to paper and code
#1
by nielsr HF Staff - opened
Hi! I'm Niels from the Hugging Face community science team.
This PR improves your model card by:
- Adding the
roboticspipeline tag to ensure it is indexed correctly on the Hub. - Setting the
library_nametotransformersas the model uses standard Hugging Face AutoClasses for loading. - Setting the license to
mitbased on your GitHub repository. - Adding a link to your official GitHub repository for better visibility.
Feel free to merge if this looks good to you!
juyil changed pull request status to merged