Instructions to use mrHunghddddd/fd2c731e-c0cd-499c-8f32-85a244d98334 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mrHunghddddd/fd2c731e-c0cd-499c-8f32-85a244d98334 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, "mrHunghddddd/fd2c731e-c0cd-499c-8f32-85a244d98334") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f4e55cc4445b7707b03289f31c81033748b828c3236437abef1a0b101f22a6a
- Size of remote file:
- 6.78 kB
- SHA256:
- 914a46d3a809cf8c1553a0011e0b1f5db06b75ac9d1120ba7561efc9959b8b7c
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