Robotics
Transformers
Safetensors
openvla
feature-extraction
custom_code
8-bit precision
bitsandbytes
Instructions to use chocopan/openvla_oft_plus_int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chocopan/openvla_oft_plus_int8 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForVision2Seq model = AutoModelForVision2Seq.from_pretrained("chocopan/openvla_oft_plus_int8", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 130 Bytes
727199c | 1 2 3 4 5 6 7 | {
"auto_map": {
"AutoProcessor": "processing_prismatic.PrismaticProcessor"
},
"processor_class": "PrismaticProcessor"
}
|