Instructions to use daje/model_Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use daje/model_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, "daje/model_Lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd9f098fae887a312c4c4b88259398ccd65a076fd4703c7219c5c415ec165820
- Size of remote file:
- 5.5 kB
- SHA256:
- 0412648eef35d7142497487b258c64efe07d306231724f340bde0084f4ffe919
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