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:
- b77142e418383b0f37e89b7ee07b4db6e51235c48874323a797811216edfe2f7
- Size of remote file:
- 114 MB
- SHA256:
- 4685c8f7a4413d34af6b82b4b0e7d2ce6c990f0d8d350779d5f64ce5dc3529cc
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