Instructions to use ToastyPigeon/nemo-kimi-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ToastyPigeon/nemo-kimi-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-Nemo-Base-2407") model = PeftModel.from_pretrained(base_model, "ToastyPigeon/nemo-kimi-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e336403f159633711eaba1973241aceb76d8e50b9960f990d219a318005a396c
- Size of remote file:
- 7.38 kB
- SHA256:
- 07f3504f93b7b89b1cf919c9061e463fa6ac1bf3191d416ea1d7d28242a9c9be
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