Instructions to use juyil/long-8act with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use juyil/long-8act with Transformers:
# Load model directly from transformers import AutoModelForVision2Seq model = AutoModelForVision2Seq.from_pretrained("juyil/long-8act", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add robotics pipeline tag, library name, license, and link to GitHub
#1
by nielsr HF Staff - opened
This PR improves the model card for VOTE by:
- Adding the
pipeline_tag: roboticsmetadata so it is properly indexed on the Hub. - Adding
library_name: transformersas the model uses standard Hugging Face AutoClasses. - Adding the
license: mitmetadata. - Linking the model card to the official GitHub repository.
juyil changed pull request status to merged