Instructions to use Sereno/TCoT-Multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Sereno/TCoT-Multi with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
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Download README.md from Sereno/TCoT-Multi: direct link, hf CLI and curl.
- Browser
- Download file 463 Bytes
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https://huggingface.co/Sereno/TCoT-Multi/resolve/main/README.md
- Command line
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hf download hf://Sereno/TCoT-Multi/README.md
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curl -L -o README.md https://huggingface.co/Sereno/TCoT-Multi/resolve/main/README.md
463 Bytes
| base_model: openvla/openvla-7b | |
| library_name: peft | |
| tags: | |
| - robotics | |
| - vision-language-action | |
| - libero | |
| - lora | |
| license: other | |
| # TCoT-Multi | |
| The multi-task TCoT LoRA adapter evaluated across LIBERO-Spatial, | |
| LIBERO-Object, LIBERO-Goal, and LIBERO-Long. This is checkpoint step 110000 | |
| and requires the `openvla/openvla-7b` base model. | |
| See the [TCoT repository](https://github.com/Serenos/TCoT) for evaluation | |
| commands, dataset preparation, and paper results. | |