Instructions to use float-lab/groot-lora-finetune-30fps-alpha-128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use float-lab/groot-lora-finetune-30fps-alpha-128 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("nvidia/GR00T-N1.5-3B") model = PeftModel.from_pretrained(base_model, "float-lab/groot-lora-finetune-30fps-alpha-128") - Transformers
How to use float-lab/groot-lora-finetune-30fps-alpha-128 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("float-lab/groot-lora-finetune-30fps-alpha-128", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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base_model: nvidia/GR00T-N1.5-3B
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library_name: peft
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# Model Card for Model ID
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[More Information Needed]
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### Framework versions
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base_model: nvidia/GR00T-N1.5-3B
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library_name: peft
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pipeline_tag: robotics
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tags:
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- base_model:adapter:nvidia/GR00T-N1.5-3B
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- lora
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datasets:
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# Model Card for Model ID
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[More Information Needed]
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### Framework versions
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- PEFT 0.17.1
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