Instructions to use shiyill/lora_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shiyill/lora_test with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b") model = PeftModel.from_pretrained(base_model, "shiyill/lora_test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9cde830f566aa9e38c117cb8aef13b29cea8443168c330082f522f68bcb7afaf
- Size of remote file:
- 168 MB
- SHA256:
- 38a68561ab592fb86722f6384b246ed9906aaa420fe24db3d74659a69a7abe68
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.