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:
- 9ab56ee6bdea034b6280b92a6f8c4859c20910269a21c77f20311714fe9453a0
- Size of remote file:
- 7.38 kB
- SHA256:
- e6fc9fec3daf51e3a85c598705dc7d07afcab893691a1ec91ca174e292958414
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