Instructions to use moojink/openvla-7b-oft-finetuned-libero-goal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moojink/openvla-7b-oft-finetuned-libero-goal with Transformers:
# Load model directly from transformers import AutoModelForVision2Seq model = AutoModelForVision2Seq.from_pretrained("moojink/openvla-7b-oft-finetuned-libero-goal", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| model-00004-of-00004.safetensors filter=lfs diff=lfs merge=lfs -text | |
| model-00001-of-00004.safetensors filter=lfs diff=lfs merge=lfs -text | |
| model-00002-of-00004.safetensors filter=lfs diff=lfs merge=lfs -text | |
| model-00003-of-00004.safetensors filter=lfs diff=lfs merge=lfs -text | |
| lora_adapter/adapter_config.json filter=lfs diff=lfs merge=lfs -text | |
| lora_adapter/adapter_model.safetensors filter=lfs diff=lfs merge=lfs -text | |
| lora_adapter/README.md filter=lfs diff=lfs merge=lfs -text | |
| action_head--50000_checkpoint.pt filter=lfs diff=lfs merge=lfs -text | |
| proprio_projector--50000_checkpoint.pt filter=lfs diff=lfs merge=lfs -text | |
| lora_adapter/ filter=lfs diff=lfs merge=lfs -text | |