Instructions to use juyil/spatial-8act with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use juyil/spatial-8act with Transformers:
# Load model directly from transformers import AutoModelForVision2Seq model = AutoModelForVision2Seq.from_pretrained("juyil/spatial-8act", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add robotics pipeline tag, library name, license, and link to GitHub repository
#1
by nielsr HF Staff - opened
Hi! This PR improves the model card by:
- Adding the
roboticspipeline tag to make the model discoverable in the robotics section of the Hub. - Setting the
library_nametotransformersas the model uses auto-mappings compatible with the library. - Defining the
licenseasmitbased on the official GitHub repository. - Linking to the official GitHub repository for the code.
juyil changed pull request status to merged