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:
- bf3dfc77c0a63a3d2d031860fce083e2ae201f8383cc49787eb363f6d88b2d2f
- Size of remote file:
- 2.44 GB
- SHA256:
- 8486e0f63a9b9e0f4e18268c30b5b7518393028f80efa4415a3aeb3f0ce30fb7
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