Instructions to use 1-lock/5cfacbdc-e852-40fb-a08e-e77f88e3e83b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/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, "1-lock/5cfacbdc-e852-40fb-a08e-e77f88e3e83b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 75dddd603b4a258a574633256a0360c69b223eb9b3a19dcaae109746ceed432f
- Size of remote file:
- 17.2 MB
- SHA256:
- 191cb3e9bd55f46b3d72f7f6f39c98c3ee94148edc7787a29dad75d112c93ccb
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