Instructions to use nblinh63/b67ec381-83ab-4b09-aa03-c8300fb17428 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nblinh63/b67ec381-83ab-4b09-aa03-c8300fb17428 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("UCLA-AGI/Gemma-2-9B-It-SPPO-Iter2") model = PeftModel.from_pretrained(base_model, "nblinh63/b67ec381-83ab-4b09-aa03-c8300fb17428") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
e45cce8 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:7c20c62233bdeeb490be634ca6542ead244bf118d047c54d35a6aba8ac17358c
size 216284090
|