Instructions to use basilePlus/llama3-8b-schopenhauer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use basilePlus/llama3-8b-schopenhauer 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, "basilePlus/llama3-8b-schopenhauer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4d1cd186e21d04bf1fbc708f4945f3f879b74af0c21caec5847206554b8eb733
- Size of remote file:
- 5.05 kB
- SHA256:
- 008827ded7e8827437285e508fba31c1f9f71d663d942db7e58d0820151b52e9
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