Instructions to use SachitKuhar/finetune_starcoder2_torch_1_12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SachitKuhar/finetune_starcoder2_torch_1_12 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-3b") model = PeftModel.from_pretrained(base_model, "SachitKuhar/finetune_starcoder2_torch_1_12") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6111e447fff3476b095be8d5530991067bf15e04c29faf6c964e7b7ed76ce376
- Size of remote file:
- 5.5 kB
- SHA256:
- 6b8ebe99e7a55e54b07bd8c78e2697006892732ee895ae25e83222be7596adcb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.