Instructions to use albertodugo/starcoder2-3b_fineTunedLoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use albertodugo/starcoder2-3b_fineTunedLoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-3b") model = PeftModel.from_pretrained(base_model, "albertodugo/starcoder2-3b_fineTunedLoRA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 61514520c691c73e41e7fd6a8b4e94584b7642f7b723da1be974137457365003
- Size of remote file:
- 5.05 kB
- SHA256:
- 5dd7a34227ad3f96464ff04945e46553c01a55f5d735f65d0917f58a0c287682
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