Instructions to use Likich/open-coding-zephyr7b-single_code-qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Likich/open-coding-zephyr7b-single_code-qlora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceH4/zephyr-7b-beta") model = PeftModel.from_pretrained(base_model, "Likich/open-coding-zephyr7b-single_code-qlora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dcfa49dfe57a856b769ec79fc7151adc03a4dc2747b8b35e340a0c30a75b56fe
- Size of remote file:
- 168 MB
- SHA256:
- ca1b142940c6a9186f0c3352c06bd21e87291a4774550ec5f3cd885489846313
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