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:
- 99242e4f76a71e47cd768f6585be0723cbb642b2c3e731b732fb3a7198dcb1fc
- Size of remote file:
- 65.7 MB
- SHA256:
- 2fcc18a4181c065d107e66cca9058af5a18b263f6263db5b9e223ccd13b5a128
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.