Instructions to use duyphu/5c0d2573-80e9-431f-aec9-7c4bd200fb15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use duyphu/5c0d2573-80e9-431f-aec9-7c4bd200fb15 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, "duyphu/5c0d2573-80e9-431f-aec9-7c4bd200fb15") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d04f1e0d671a4927890ea07e67e380ce04e777b2eb4d281f79f0403a292d974
- Size of remote file:
- 114 MB
- SHA256:
- 5896066d03b36d9e40fdbc830dc9aea2e01e9dbbdc0387d806633e8d730e5488
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