Instructions to use terryyz/starcoderbase-1b-codecot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use terryyz/starcoderbase-1b-codecot with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoderbase-1b") model = PeftModel.from_pretrained(base_model, "terryyz/starcoderbase-1b-codecot") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 47e51c87ac918bfbdf0304a2e2dd571c0429e0af7b50cc99ab1d5c3361c1099e
- Size of remote file:
- 14.4 MB
- SHA256:
- e363603cdb2305c94aa52ad831ed94b3c8d0dd62e15c3ebd504abb3856fd1493
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