Instructions to use nhung02/4ccba7c6-2cfc-4b36-9dbf-6b53ef8fb2d9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhung02/4ccba7c6-2cfc-4b36-9dbf-6b53ef8fb2d9 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, "nhung02/4ccba7c6-2cfc-4b36-9dbf-6b53ef8fb2d9") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 61a16031f4d6ebab44011c43edfdd308f31426d29c36dccf3d0c4b5899681b11
- Size of remote file:
- 83.9 MB
- SHA256:
- 8c60a92feb0d11a3f579edc554a022f54ef48cf853b69528a7d5707335475b36
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