Instructions to use kamel-usp/jbcs2025_phi35-balanced-C2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kamel-usp/jbcs2025_phi35-balanced-C2 with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("microsoft/Phi-3.5-mini-instruct") model = PeftModel.from_pretrained(base_model, "kamel-usp/jbcs2025_phi35-balanced-C2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 20bb928390142adc258d549a86e4460028013264a2de53345e9a2080dc8b4e50
- Size of remote file:
- 5.43 kB
- SHA256:
- ea7627393a71896e8eef3332b659e9813e5ec55ab39db76b3f30af4e328bea50
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