Instructions to use chipstack/chipmonk-peft-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chipstack/chipmonk-peft-1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3.1-70B-Instruct") model = PeftModel.from_pretrained(base_model, "chipstack/chipmonk-peft-1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9816b6a4502fbcaf1767c29074e38b249500f74717d9f3e76596e0f27b626493
- Size of remote file:
- 1.06 kB
- SHA256:
- f7e69aa73185c1b1d3ff1446e91f0f48513263da504b7402453840a7b5171046
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