Difference between revisions of "Prismatic VLM REPL"
| Line 9: | Line 9: | ||
* Python 3.8 or higher installed | * Python 3.8 or higher installed | ||
* NVIDIA GPU with CUDA support (optional but recommended for faster processing) | * NVIDIA GPU with CUDA support (optional but recommended for faster processing) | ||
| − | * Hugging Face account and token for accessing | + | * Hugging Face account and token for accessing Meta Lllama |
== Setting Up the Environment == | == Setting Up the Environment == | ||
In addition to installing requirements-min.txt from the repo, you probably need to install rich, tensorflow_graphics, tensorflow-datasets and dlimp. | In addition to installing requirements-min.txt from the repo, you probably need to install rich, tensorflow_graphics, tensorflow-datasets and dlimp. | ||
Revision as of 23:01, 20 June 2024
The K-Scale OpenVLA adaptation by User:Paweł is at https://github.com/kscalelabs/openvla
Here are some suggestions to running the generate.py REPL Script from the repo if you just want to try out OpenVLA.
Prerequisites
Before running the script, ensure you have the following:
- Python 3.8 or higher installed
- NVIDIA GPU with CUDA support (optional but recommended for faster processing)
- Hugging Face account and token for accessing Meta Lllama
Setting Up the Environment
In addition to installing requirements-min.txt from the repo, you probably need to install rich, tensorflow_graphics, tensorflow-datasets and dlimp.
