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:
- e7685bfe91cef763dce1cf790edd677664a8d8d184860c3f9a1eaad1a8cd007b
- Size of remote file:
- 5.37 kB
- SHA256:
- dfde357e1039511b50871a74cd1f11332b43cc16ca8d2ef8235b87bc4aa29b62
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