Instructions to use gavrilstep/85aa9e5d-cbb6-4fe6-9e71-d69f333295b0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gavrilstep/85aa9e5d-cbb6-4fe6-9e71-d69f333295b0 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, "gavrilstep/85aa9e5d-cbb6-4fe6-9e71-d69f333295b0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c21ec97d308c4786002988ae35579f91bf5de81ac0f61b9ebd336decf8175a4c
- Size of remote file:
- 14.2 kB
- SHA256:
- 7b787a89658b42bf16ddbbd6bd90065cd8d3499be1970e968875c6e35532ecab
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