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:
- d7e3c9caef52a5e7ad5a47480fc60b59ba1f24fb30837e1343f284129e40b61b
- Size of remote file:
- 5.05 kB
- SHA256:
- fade37ef773662a6b6cd218d5087074da811a5c66f95fab0d33a96a4e9d72f33
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