Instructions to use cpheemagazine/04cd8694-8cd2-423e-bd43-6af0ba123327 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cpheemagazine/04cd8694-8cd2-423e-bd43-6af0ba123327 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Meta-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "cpheemagazine/04cd8694-8cd2-423e-bd43-6af0ba123327") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 86af02bc8ef5c0315e01cff3692bb7008f7006ba9fe414e3703949e79e526ba6
- Size of remote file:
- 7.22 kB
- SHA256:
- ed7e5bfdbea2e66c05799050791c0fc7aae4ffad25938954f165eef1c0647ca3
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