Instructions to use DeepDream2045/5cfacbdc-e852-40fb-a08e-e77f88e3e83b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DeepDream2045/5cfacbdc-e852-40fb-a08e-e77f88e3e83b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Theta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "DeepDream2045/5cfacbdc-e852-40fb-a08e-e77f88e3e83b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37d57bf0a61f9c3b3b7579f941ff2aa1d9b059a0d0cfb50059c674a7eefd9558
- Size of remote file:
- 2.44 GB
- SHA256:
- 8bf8fbacf15b0f6581427170661b0453f23cd1762fef3ad413b6cdd7f5f49150
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.