Instructions to use eeeebbb2/1ea23141-f4aa-4c8e-a47a-d119b471314e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/1ea23141-f4aa-4c8e-a47a-d119b471314e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Nous-Hermes-2-Mistral-7B-DPO") model = PeftModel.from_pretrained(base_model, "eeeebbb2/1ea23141-f4aa-4c8e-a47a-d119b471314e") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a09deedc856a847d64d35271c43b8e0f737ca1869df188eaec73a1e1ca26165b
- Size of remote file:
- 6.84 kB
- SHA256:
- 11ca56a59f586f608ac3bf5324d43461db2c1d2dc87f2df8c6df0d351cc6750d
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