Instructions to use nhungphammmmm/d59ce49d-fbef-4eab-8de0-ebabfa242364 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhungphammmmm/d59ce49d-fbef-4eab-8de0-ebabfa242364 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b-Instruct") model = PeftModel.from_pretrained(base_model, "nhungphammmmm/d59ce49d-fbef-4eab-8de0-ebabfa242364") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5bd143f8090e26cfc2697d0dcb38b412006cf3623b93eb8365eb508fe53254fa
- Size of remote file:
- 6.78 kB
- SHA256:
- 8612b8b7e1bc42d8a93c64bf7a62b436b2ec6e0d850eb43169a6739c1fc2f7e4
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