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:
- e3bda55ab000e17331d6e11175b648dcd64d4b3b28e71cf32534e350d45c542b
- Size of remote file:
- 336 MB
- SHA256:
- 023fcdac7213b51dcb6a5b3f5d247e3b7c8a207dd855c983a20a4bd3898bbf19
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