Instructions to use codewizardUV/sus_model_llama3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use codewizardUV/sus_model_llama3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "codewizardUV/sus_model_llama3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 373da78c54a02767aff5a8bac8e6c11d056cd3430cb25f92487865483ba97df9
- Size of remote file:
- 5.37 kB
- SHA256:
- 2ee734fa1869c15bf8250e21b5dc1d8af3b50f970c10dfa5318cd9968eea61f4
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