Instructions to use APaul1/Llama-3-8B-sft-lora-ultrachat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use APaul1/Llama-3-8B-sft-lora-ultrachat with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct") model = PeftModel.from_pretrained(base_model, "APaul1/Llama-3-8B-sft-lora-ultrachat") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d3aa98414714dce095d3e8447a5bdbec848f48f6ee3c35a01c65d58885387fd
- Size of remote file:
- 5.05 kB
- SHA256:
- 3326f23996a8c9202840cb7437c253e5bbfb8ed9e7ca0d84709bfc6fe6db45e9
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