Instructions to use eeeebbb2/65ac5ec0-b3d5-493d-a2dd-d0643be5e765 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/65ac5ec0-b3d5-493d-a2dd-d0643be5e765 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "eeeebbb2/65ac5ec0-b3d5-493d-a2dd-d0643be5e765") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
43067fd | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:73bb493504d50c4795c330782e56e47f896188d8daf99bc6491327b07a7b95a3
size 6840
|