Difference between revisions of "Prismatic VLM REPL"
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The K-Scale OpenVLA adaptation by [[User:Paweł]] is at https://github.com/kscalelabs/openvla | The K-Scale OpenVLA adaptation by [[User:Paweł]] is at https://github.com/kscalelabs/openvla | ||
| − | Here are some suggestions to | + | Here are some suggestions to run the generate.py REPL Script from the repo if you would like to get started with OpenVLA. |
== Prerequisites == | == Prerequisites == | ||
Revision as of 23:07, 20 June 2024
The K-Scale OpenVLA adaptation by User:Paweł is at https://github.com/kscalelabs/openvla
Here are some suggestions to run the generate.py REPL Script from the repo if you would like to get started with 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.
work in progress,need to add screenshots and next steps
