Instructions to use AINovice2005/ModernBERT-base-lora-cicflow-1m-r8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AINovice2005/ModernBERT-base-lora-cicflow-1m-r8 with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("answerdotai/ModernBERT-base") model = PeftModel.from_pretrained(base_model, "AINovice2005/ModernBERT-base-lora-cicflow-1m-r8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1140925d64b955a2c1f0f8c04309f875ad95da2bb646bbff6d5aa0bff90dc1e6
- Size of remote file:
- 1.38 kB
- SHA256:
- b26ca840ae7f3cdd47010b0281e4b909cd90799e359d9274250c771e8e543a89
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