Instructions to use KarlP/fast-droid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KarlP/fast-droid with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("KarlP/fast-droid", dtype="auto") - Notebooks
- Google Colab
- Kaggle
metadata
library_name: transformers
license: apache-2.0
FAST DROID Expert
A FAST tokenizer, trained on the DROID dataset only. For a universal FAST tokenizer, applicable to any robot dataset, see here.
For details about FAST tokenizers, see our paper on efficient action tokenization for VLA training:
FAST: Efficient Action Tokenization for Vision-Language-Action Models