Instructions to use vmpsergio/3b1673bd-e480-4503-824c-7cda3a5c3b46 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vmpsergio/3b1673bd-e480-4503-824c-7cda3a5c3b46 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EleutherAI/pythia-70m") model = PeftModel.from_pretrained(base_model, "vmpsergio/3b1673bd-e480-4503-824c-7cda3a5c3b46") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
99d5c52 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:e3e2d0bd833148674226bdd7ee10337602f3867815395d98b8b45f66449923c5
size 6309118
|