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
Update base_model
Browse filesbase_model pointed to local version of the model. update it to hf version.
- adapter_config.json +1 -1
adapter_config.json
CHANGED
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@@ -1,7 +1,7 @@
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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-
"base_model_name_or_path": "
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"bias": "none",
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"corda_config": null,
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"eva_config": null,
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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+
"base_model_name_or_path": "nvidia/GR00T-N1.5-3B",
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"bias": "none",
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"corda_config": null,
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"eva_config": null,
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