Instructions to use ScaDSAI/final_llama_idk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ScaDSAI/final_llama_idk with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "ScaDSAI/final_llama_idk") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4e1667f3d27aa2194645cc0dfba7f9cc7c90f0e2d6e6f0bddb9430b391e40fe3
- Size of remote file:
- 8.02 kB
- SHA256:
- b86160e19c74fd9794cdd995d6a008a78429dfedd32ad953bd1d3438feb7287b
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