Instructions to use mamakos/CMClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mamakos/CMClassifier with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("teknium/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "mamakos/CMClassifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 19162ad510ce9ce01d0aa65a8237f0be5214b660bc2beba1c43b81a0ddcb48c5
- Size of remote file:
- 609 MB
- SHA256:
- 4da2522bb5c56006a4abc62680056060f752c9591a8a1172c731b5057c0cb8c0
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