Instructions to use kokovova/44f88825-95d6-43e1-a3b4-bc4ea9fe9cff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kokovova/44f88825-95d6-43e1-a3b4-bc4ea9fe9cff 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, "kokovova/44f88825-95d6-43e1-a3b4-bc4ea9fe9cff") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 840023d757f07be8c43c6240687a3a2dcdfcc0efdb3b139c709c143fc006c7c8
- Size of remote file:
- 6.78 kB
- SHA256:
- b47e5f313eac0d04e32f4d3ae300a04ab132bbc90269a3362fd93f84d3557110
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