Instructions to use nhungphammmmm/9a8e9065-e958-4d32-9b5a-39c46937ddce with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhungphammmmm/9a8e9065-e958-4d32-9b5a-39c46937ddce 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, "nhungphammmmm/9a8e9065-e958-4d32-9b5a-39c46937ddce") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3566b4119948b05aa8f7439bc5b8d7f57c59253d47914d6f7ff12ec57ee8573f
- Size of remote file:
- 84 MB
- SHA256:
- b723f7cbcf77cfe80f133ee16e4249018d5b3771f8e7db13a62d8863d45537ac
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