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:
- 6a4ca3299c492a5c745d3aa9af850088e2875b7bcdab3d14a1e14c1d38f14cd5
- Size of remote file:
- 15 kB
- SHA256:
- e0e2e00b282d393057c76842b44df81f3a0e5e181ad7dcf35b634b6e167ae60a
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