Instructions to use Alphatao/29782ae8-4df1-471d-8738-f2ed5142c158 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Alphatao/29782ae8-4df1-471d-8738-f2ed5142c158 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/29782ae8-4df1-471d-8738-f2ed5142c158") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ebc0380f6371b0782d91efa72a193902a0536a49a85704b27a36410ce155a888
- Size of remote file:
- 6.78 kB
- SHA256:
- daa8b8696b3c73b06da1c5f270105b24910a0d19a5eac7a9cda8d137def4d8a8
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