Instructions to use terryyz/starcoderbase-7b-codecot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use terryyz/starcoderbase-7b-codecot with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoderbase-7b") model = PeftModel.from_pretrained(base_model, "terryyz/starcoderbase-7b-codecot") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba108a43284551b01f035e64cccffb81d53d90c50b9cda642996cb842d153ee8
- Size of remote file:
- 49.9 MB
- SHA256:
- aec00a9321913258c7a4ae4bdb5fc30d50af594486fb775bf28830285764982a
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