Instructions to use Gege24/zay-starcoder3b-dpo-pathD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Gege24/zay-starcoder3b-dpo-pathD with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-3b") model = PeftModel.from_pretrained(base_model, "Gege24/zay-starcoder3b-dpo-pathD") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- faf3296f1917cf42dd66bda928ee2db0fa2aee5ea9224d173e829d986e083310
- Size of remote file:
- 6.52 kB
- SHA256:
- a31c9575c248cbf28600539e0931c29281d5bb1347119076f55747f327eb76ae
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