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:
- b03ee61949d98971d874f43f117680821e2592e6dae711744e9f30e742b7159f
- Size of remote file:
- 168 MB
- SHA256:
- 2f42ad11798b46602e8a9f5dc4e94cda537155ed8a7b9c7a78fc717cd959c6bd
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