Instructions to use siddhantray/Base-StarVLA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use siddhantray/Base-StarVLA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("siddhantray/Base-StarVLA", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
File size: 253 Bytes
413e7d4 | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"action_dim": null,
"auto_map": {
"AutoProcessor": "processing_action_tokenizer.UniversalActionProcessor"
},
"min_token": -354,
"processor_class": "UniversalActionProcessor",
"scale": 10,
"time_horizon": null,
"vocab_size": 2048
}
|