Instructions to use lottienghiem/finetune_starcoder23b_2nd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lottienghiem/finetune_starcoder23b_2nd with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-3b") model = PeftModel.from_pretrained(base_model, "lottienghiem/finetune_starcoder23b_2nd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01885a2e18b4f52403f95c5b3c3d6865021b56939075f31852007dba38786c68
- Size of remote file:
- 5.11 kB
- SHA256:
- 82b2bd2cb53e7121caaae7be74ad5af7a846e58b3dc4012412425372e203c2c7
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