Robotics
Transformers
Safetensors
openvla
feature-extraction
vla
vision-language-action
lora
so101
multitask
custom_code
Instructions to use twanghcmut/OpenVLA-7B-SO101-LeftArm-Multitask with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use twanghcmut/OpenVLA-7B-SO101-LeftArm-Multitask with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForVision2Seq model = AutoModelForVision2Seq.from_pretrained("twanghcmut/OpenVLA-7B-SO101-LeftArm-Multitask", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 130 Bytes
e8b4c97 | 1 2 3 4 5 6 7 | {
"auto_map": {
"AutoProcessor": "processing_prismatic.PrismaticProcessor"
},
"processor_class": "PrismaticProcessor"
}
|