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:
- 7887f4df315c3495d0bf577f4515fa917895e09b24890166a0afae53bd41936e
- Size of remote file:
- 15 kB
- SHA256:
- 82701af47aee262ed2de158601900d0fb32c3907f9ce5c99bd179091b4d1fc62
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