Instructions to use 1-lock/1066784b-c190-4088-9e1e-7e094cac1703 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/1066784b-c190-4088-9e1e-7e094cac1703 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/1066784b-c190-4088-9e1e-7e094cac1703") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e82a68139f76317742604ac36cfcbf52d063ce487e7694df60315afce049fe4
- Size of remote file:
- 2.44 GB
- SHA256:
- 2ee58360c2a253868fbb2d8e7fe0b6a383c585be64f55e6fd97b12b56f8ae8c1
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