Instructions to use 1-lock/4bfc3447-f9d8-4ba1-932b-c6d2484e0e24 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/4bfc3447-f9d8-4ba1-932b-c6d2484e0e24 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/4bfc3447-f9d8-4ba1-932b-c6d2484e0e24") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa10a5dc8bdbc7ea6d3f9ccefcf8d978b3a2dcecd23d7eedb07fa2db56602450
- Size of remote file:
- 15 kB
- SHA256:
- 111222c603ccb065e59781f0bc3bf5fd9d9931f641e5e2091e164828be9a0956
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