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:
- 9867dad55ff76dbeecdee343b07516ab8ed298ea8ceb0d68f4cf6d04bf5bcf9d
- Size of remote file:
- 6.78 kB
- SHA256:
- 8ca7c605ba9772173916dce3e669b961c2bbeca6f83280f1f5e54dadbda1c732
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