Instructions to use terryyz/starcoderbase-3b-codecot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use terryyz/starcoderbase-3b-codecot with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoderbase-3b") model = PeftModel.from_pretrained(base_model, "terryyz/starcoderbase-3b-codecot") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae92a060d4d940b85bcc2d72648422a799f89422177439be2b6fc1650ba05a3b
- Size of remote file:
- 29.5 MB
- SHA256:
- f72d4bcfab5d01d1a9c44ddb5a2d424a94e3660de9185f0b2d80a1a601ae7489
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