Instructions to use elfrjop/pa_baseline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use elfrjop/pa_baseline with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("kuotient/Meta-Llama-3-8B-Instruct") model = PeftModel.from_pretrained(base_model, "elfrjop/pa_baseline") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d29e51f194cc9a2f537ab38bdedc25208a9fff0a54583efbf98dcb7bc1d455e2
- Size of remote file:
- 27.4 MB
- SHA256:
- 38af913f204d175f9334a6ca227ec720b13497d866b3fb7f331769e3ae123fc0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.