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
Download processor_config.json from chocopan/openvla_oft_plus_int8: direct link, hf CLI and curl.
- Browser
- Download file 130 Bytes
-
https://huggingface.co/chocopan/openvla_oft_plus_int8/resolve/main/processor_config.json
- Command line
-
hf download hf://chocopan/openvla_oft_plus_int8/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/chocopan/openvla_oft_plus_int8/resolve/main/processor_config.json
130 Bytes
| { | |
| "auto_map": { | |
| "AutoProcessor": "processing_prismatic.PrismaticProcessor" | |
| }, | |
| "processor_class": "PrismaticProcessor" | |
| } | |