Instructions to use kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C2-essay_only-r8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C2-essay_only-r8 with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("microsoft/phi-4") model = PeftModel.from_pretrained(base_model, "kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C2-essay_only-r8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4cb1034a5d4bb04a5d052b88d5f01221555ec7265e7dd5d999079d95ba4fae49
- Size of remote file:
- 5.84 kB
- SHA256:
- cf03fff61c58b9cb2c0e05cbfb90540ba43ccd313c629888340adc0089c49d41
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