Instructions to use tarabukinivan/52961e26-ae89-4cf4-90eb-76e848f71e41 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tarabukinivan/52961e26-ae89-4cf4-90eb-76e848f71e41 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Hermes-3-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "tarabukinivan/52961e26-ae89-4cf4-90eb-76e848f71e41") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b673bdb9e08e7e892f002203286ae3b5a2891723a5e31abc77e11e369b0e625c
- Size of remote file:
- 6.78 kB
- SHA256:
- 430b97962583cdb32d43a576544cad170f3b0deada30ebaffa9dc6bb514892eb
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