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:
- 97004e1ee996f221de41d2a4837a4e577e8320aa7186a05614449b2704731341
- Size of remote file:
- 2.44 GB
- SHA256:
- f4c4f43bb6839fbbc7ac82a7a7ef8345fa2d72fb6ad18f667a6cc297823fb2e8
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