Instructions to use gavrilstep/7d9d58c2-0406-4c2e-9f88-f54f6a689a99 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gavrilstep/7d9d58c2-0406-4c2e-9f88-f54f6a689a99 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("lmsys/vicuna-13b-v1.5") model = PeftModel.from_pretrained(base_model, "gavrilstep/7d9d58c2-0406-4c2e-9f88-f54f6a689a99") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
45f9799 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:c7f241efab3d3150af65f6ad22f58eb68cd033dd9adea2646df67c08c2fe6cf9
size 6712
|