Instructions to use Alphatao/a8d7b1bb-b67f-4ff0-ba66-a04d7053d388 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Alphatao/a8d7b1bb-b67f-4ff0-ba66-a04d7053d388 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("teknium/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "Alphatao/a8d7b1bb-b67f-4ff0-ba66-a04d7053d388") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bdf844669e4304edd06a1a3a91e2c86332ec969a00ab6007bcbd7bb79911a0c4
- Size of remote file:
- 6.78 kB
- SHA256:
- 4ae2fc23d822ebdc78857e4754a3fc9669b6a9487ad80d5e43a9694ed7a87494
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