Instructions to use nblinh63/4e6fe6b2-2f3a-4bac-9ccf-e39a9628f596 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nblinh63/4e6fe6b2-2f3a-4bac-9ccf-e39a9628f596 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-7b-it") model = PeftModel.from_pretrained(base_model, "nblinh63/4e6fe6b2-2f3a-4bac-9ccf-e39a9628f596") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
97d74c6 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:f2f38358857a143249f0ef8ce033109a4aab15c421a3918f9d7a43a68cc1c41f
size 6776
|