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:
- f4a2157c26ee44584f01e72ed32c15a377da5e34ed4200f67aea62fe78ce3e27
- Size of remote file:
- 18.2 MB
- SHA256:
- 4c338703bef100a2635bec7cce895e58511e0dd791d148982b5de541fa431ca7
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