Instructions to use vdos/7bc33c08-cbde-4887-bc29-25e02fb2e8e0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vdos/7bc33c08-cbde-4887-bc29-25e02fb2e8e0 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, "vdos/7bc33c08-cbde-4887-bc29-25e02fb2e8e0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a0146021df4cb1c62c14e10463526399a30939163d604f58dfdc0ec1a5e7daae
- Size of remote file:
- 671 MB
- SHA256:
- 04bf15685e87900452ec97e8abb9b3096693f5703ab0768b8f40e73764f393dc
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