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:
- 3a231cd77148cb12b5ad6dc91054bd8e38e4de30e0480928551e91547db1a0ad
- Size of remote file:
- 17.2 MB
- SHA256:
- 692aabc0a04402af076366434402f25c98c148e26789566c887ad1563f4bdbd7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.