Instructions to use ToastyPigeon/nemo-kimi-lora-2e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ToastyPigeon/nemo-kimi-lora-2e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("inflatebot/MN-12B-Mag-Mell-R1") model = PeftModel.from_pretrained(base_model, "ToastyPigeon/nemo-kimi-lora-2e") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21131d42ac5626ba4c854bd05970860d0dd08e724c29b7fb723811ad9dbcbdba
- Size of remote file:
- 913 MB
- SHA256:
- 3676ffa9d2a4a6b45ff054c1c5e6d9f894f3b60e7b6788564173fff0bcaa9893
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