Instructions to use duyphu/ce903330-4a0c-4825-9999-8943be9cc5f3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use duyphu/ce903330-4a0c-4825-9999-8943be9cc5f3 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, "duyphu/ce903330-4a0c-4825-9999-8943be9cc5f3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d4b1d7b2501ccd72a88e15f19f3049c96280322bd6ab5e1fbe05420ee6905b16
- Size of remote file:
- 6.78 kB
- SHA256:
- 87ec2d6dc4577856290c835189d0a93525b4f538f4db949828e93783b40c19cb
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