Instructions to use minhtrannnn/6c2ffac9-a4a8-41ef-b2ba-9aaf6914fd5b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use minhtrannnn/6c2ffac9-a4a8-41ef-b2ba-9aaf6914fd5b 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, "minhtrannnn/6c2ffac9-a4a8-41ef-b2ba-9aaf6914fd5b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b554c0856c9fc6c8be16e75cae06e9b4152c212c1cb8d400c659609611c3f72f
- Size of remote file:
- 6.78 kB
- SHA256:
- c1a04cca842e6a7ea585e70892060e0959449b9d4694925e4d7148d8e7b8e6b4
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