Instructions to use Spandan98/R_Python_Adaptor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Spandan98/R_Python_Adaptor with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-3b") model = PeftModel.from_pretrained(base_model, "Spandan98/R_Python_Adaptor") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
994c400 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:b7ad7b90e10697db3356b071a8738c2143b680f22e7dffc21fbfb9ba1c4e1046
size 18218008
|