Instructions to use JoshMe1/289e7cc5-a10e-4bec-b9fd-075a5e758196 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use JoshMe1/289e7cc5-a10e-4bec-b9fd-075a5e758196 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, "JoshMe1/289e7cc5-a10e-4bec-b9fd-075a5e758196") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c8cfbaa75556c0dfbebb91c0e9d4cb1b7e5a1ae233499da3522ade435aa2399
- Size of remote file:
- 671 MB
- SHA256:
- baf276f2ca2ff85486d36049e3762af2eed22f56a17e11d8e5ebb1e2dadcf13e
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