Instructions to use cools/LLM-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cools/LLM-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bn22/Mistral-7B-Instruct-v0.1-sharded") model = PeftModel.from_pretrained(base_model, "cools/LLM-LoRA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5447d76b035d391b416df0f8e28e50efa5d3ce38cf0b2f243b37cf2cf675f1ce
- Size of remote file:
- 4.54 kB
- SHA256:
- e140806e2e2e31fba82f540cf5fc839f41cb8ed4903678e59fb42ac85a482011
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