Instructions to use gotzmann/1OV77 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gotzmann/1OV77 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Meta-Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "gotzmann/1OV77") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e280626f07ffcf531da776b730dfc16156560bca5851dc023b130ae438521e1
- Size of remote file:
- 1.34 GB
- SHA256:
- 7e322e4aa3e394f97d354ed9ae3859ecdc42882a23e80458c67e905bf4eff092
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