Instructions to use igzi/lora-dart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use igzi/lora-dart with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "igzi/lora-dart") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a06209f13b75d6dfeb30d80fa4e58e3799165b032a2fb7e158502a50a9b7bb3
- Size of remote file:
- 20.7 MB
- SHA256:
- c2bc1205157fc4c1c8d98c155162770e3402229483eb5d578d5e1c11bd13a3d2
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