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:
- d84c7ec635a23ae70ada817711b400d1e9e5b0e51b177810a35881355b194235
- Size of remote file:
- 336 MB
- SHA256:
- a19a62b2ba44f3b51fd6582d8026c86d413fe4ee144fb4b9e9c340fd2ac90f2b
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