Instructions to use hallisky/lora-function-less-llama-3-8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hallisky/lora-function-less-llama-3-8b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "hallisky/lora-function-less-llama-3-8b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6cc55665e7b40f396483644a87084e31e87ff9b907dd6ecfff3d640f5688aa0a
- Size of remote file:
- 4.92 kB
- SHA256:
- d1ff1c1770b9a350948ab550ff789bd332f98c70847c98d181ff06357777f507
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