Instructions to use vdos/1ea23141-f4aa-4c8e-a47a-d119b471314e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vdos/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, "vdos/1ea23141-f4aa-4c8e-a47a-d119b471314e") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64d7c30a647637e16e77c102361713e6e159d4c3540cd2573d75f859700b65b1
- Size of remote file:
- 6.78 kB
- SHA256:
- 0fbb3060790de0b136e524474b6727dc491a0e0e544afef040f0808cb3e696f4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.