Instructions to use datlaaaaaaa/cefec5ae-e618-4f13-a56c-e2f0c2ce198d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use datlaaaaaaa/cefec5ae-e618-4f13-a56c-e2f0c2ce198d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "datlaaaaaaa/cefec5ae-e618-4f13-a56c-e2f0c2ce198d") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d5dd9d7bc0eeec3c7792ed6d31c4aaa8dac7e45c695778b9e511651c8c074d3
- Size of remote file:
- 41.7 MB
- SHA256:
- 599e1c1b678b5d1687e34d46c14726abf566c479b557d9932c21283756519aa7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.