Instructions to use andrk9/testingPyScript with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use andrk9/testingPyScript with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-70b-hf") model = PeftModel.from_pretrained(base_model, "andrk9/testingPyScript") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b3b1ab23ae1a33c8b18037ef154ef7c546b0354915f0784d8dcbbc0e02280b0
- Size of remote file:
- 4.6 kB
- SHA256:
- 584bdb07d1eef7bc6a4f12879793b3487ecc8146c1335851f27ac0cac2080d65
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.