Instructions to use Se1ay/starcoder2-c-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Se1ay/starcoder2-c-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-3b") model = PeftModel.from_pretrained(base_model, "Se1ay/starcoder2-c-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 607b3c3f25b38a30053d7eaf37057242b1bab3c04e81c2c88cc5488929a540f7
- Size of remote file:
- 36.6 MB
- SHA256:
- eb40f8f4fc4e707213f99858ee858ce6761629b743df033ec36f21999fe9461a
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