Instructions to use RayBernard/llama-3-8B-Intruct-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use RayBernard/llama-3-8B-Intruct-ft 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, "RayBernard/llama-3-8B-Intruct-ft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c38199ee20fc7d7605c660af9ee4b0beafcb3a2d60976533345b4ade4e2bac49
- Size of remote file:
- 5.37 kB
- SHA256:
- b9902c84d8e80052d0d2b771e55d671022953c9e4139f13cabb8e0f8119e81fa
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