Instructions to use Kota123/ft-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Kota123/ft-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "Kota123/ft-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa198c5bf28933b42ac428e5f14ca25839d4a3c765338c69cfed977ff6828b4f
- Size of remote file:
- 5.43 kB
- SHA256:
- 9df3a3316f746cf1231ab9eb82de8a7c30a206afd53f37c0bd2c758553a014c0
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