Instructions to use eeeebbb2/fd0ee068-8a66-4aa1-9803-9b270d06e76a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/fd0ee068-8a66-4aa1-9803-9b270d06e76a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Theta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "eeeebbb2/fd0ee068-8a66-4aa1-9803-9b270d06e76a") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd710d947afc10645febdf7df212c380aa950c245fb390ed70034481e3b45482
- Size of remote file:
- 15 kB
- SHA256:
- 952a6149b7c82c6fa6435899610aad998ba2edec5f12e4703e24e0256ba5d666
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