Instructions to use Edens-Gate/nemo-erebus-lora-2152 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Edens-Gate/nemo-erebus-lora-2152 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, "Edens-Gate/nemo-erebus-lora-2152") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 63e5839a2b71527f376d50f0119d4f928b4011d8e8fa7fb27fef95d9044c8cdf
- Size of remote file:
- 912 MB
- SHA256:
- dbbcd9592e8f60eed473a0ccc2ade30098790b6b8e35f6e88dcff457f0ce457e
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