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:
- 7b92fcdfe06b814e15d66c18cfeaa14ed38148b96b15a75108f30080a47524ea
- Size of remote file:
- 83.9 MB
- SHA256:
- 2727ce04c36c3c9d70e2f1a3eb814d2b8bc2a966af083098f2885931520b17ca
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