Instructions to use mrHunghddddd/899c4979-0f34-4cce-8a65-12d21ac33111 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mrHunghddddd/899c4979-0f34-4cce-8a65-12d21ac33111 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/899c4979-0f34-4cce-8a65-12d21ac33111") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 94cc63860bc132b0eb9e56d494b853a0049980b81415d10133d41f37eb4a4e4c
- Size of remote file:
- 6.78 kB
- SHA256:
- b2318d0055ea93f6a5a8dfeb8560fe9503e97b043a5fd9b8ffa0d1f50dd304bc
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