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:
- 760a1b8f87f68c6bf41b47b1b049d2b29e9a39615c58faec2cb49c2df98b1700
- Size of remote file:
- 336 MB
- SHA256:
- 3e84fcd827afde730783bb39768b01936e3a7d3d1b10fa77d315fca72a7cce73
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