Instructions to use mqddd/starcoder2-3b-lora-development with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mqddd/starcoder2-3b-lora-development with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-3b") model = PeftModel.from_pretrained(base_model, "mqddd/starcoder2-3b-lora-development") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 847fcffde7a8bf17942b5ddeef5ed0b569e2290b131ba075ca772223a171aad4
- Size of remote file:
- 95.4 MB
- SHA256:
- 40d31a21e44baa9d7eb5bfd0095d5a942bc59118f773bd3729401edac8a8618d
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