Instructions to use jlpan/starcoder-tune-cpp2py-program3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jlpan/starcoder-tune-cpp2py-program3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder") model = PeftModel.from_pretrained(base_model, "jlpan/starcoder-tune-cpp2py-program3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ca4b174432606a54b586502712d0c982879b64efcb7323a373223123c50e436
- Size of remote file:
- 35.6 MB
- SHA256:
- 272bfe615faa24cafeb5ddd3a317c04e314f95017e056dd24b4659fab909c5bf
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.