Instructions to use hongngo/58a8c4f1-4e74-45e3-95d8-887b4dd3ab10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hongngo/58a8c4f1-4e74-45e3-95d8-887b4dd3ab10 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, "hongngo/58a8c4f1-4e74-45e3-95d8-887b4dd3ab10") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ef3879459a94630571f541fba77a0ea9030de9d66ffa8bb15a883bedfb125803
- Size of remote file:
- 6.78 kB
- SHA256:
- 49c3aa694393d4d49900aa87c16f38c1e7b7a8ca5c4746eca2608bf635a2ebc1
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