Instructions to use nhoxinh/51c3c3b4-43a1-47f5-b918-69f89e0e25cd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhoxinh/51c3c3b4-43a1-47f5-b918-69f89e0e25cd with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Mistral-Nemo-Instruct-2407") model = PeftModel.from_pretrained(base_model, "nhoxinh/51c3c3b4-43a1-47f5-b918-69f89e0e25cd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a166d7b09fdc27dcefd0a9c0d2ff681915dd0eacc6bb5a8d282bd6b422ba4514
- Size of remote file:
- 114 MB
- SHA256:
- c233b1eb75965308059d61a9489ad0803e921c6f4169ece2110028047d88a1f8
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