Instructions to use amburger66/robometer-4b-lora-robotsmith-task02-real with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amburger66/robometer-4b-lora-robotsmith-task02-real with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, RBM processor = AutoProcessor.from_pretrained("amburger66/robometer-4b-lora-robotsmith-task02-real") model = RBM.from_pretrained("amburger66/robometer-4b-lora-robotsmith-task02-real", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Upload config.yaml with huggingface_hub
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LoRA fine-tune on RobotSmith real world task02 reaching
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