Instructions to use Pranabit/fine_tuning_starcoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Pranabit/fine_tuning_starcoder with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-3b") model = PeftModel.from_pretrained(base_model, "Pranabit/fine_tuning_starcoder") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd49f64312b1c343c829990434847ebaad94ed3fe86e139c2c16cd0f50b46970
- Size of remote file:
- 2.25 GB
- SHA256:
- 937f3da784c8daa125db028648aac8d2ada7862a68d95134b84e69bb2edf02c5
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