Instructions to use tybritten/lora-for-starcoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tybritten/lora-for-starcoder with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/tmp/model") model = PeftModel.from_pretrained(base_model, "tybritten/lora-for-starcoder") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec4065e7ff892fd5e05501f78307c62b780ecd5f9096556ab0ac58e63b6b76c9
- Size of remote file:
- 3.64 kB
- SHA256:
- b2c79ae3b5552ec7081ff5bdc30db051c0d206d5916db498cd68787ee48c4f10
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