Instructions to use kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_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-3.5-mini-instruct-phi35_classification_lora-C2-essay_only-r8 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_Phi-3.5-mini-instruct-phi35_classification_lora-C2-essay_only-r8") - Notebooks
- Google Colab
- Kaggle
jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C2-essay_only-r8 / adapter_model.safetensors
- Xet hash:
- 5f119475c1507c8b3a1a8f91a0121125f574409bedf8d46452f0aec60c9099a0
- Size of remote file:
- 50.4 MB
- SHA256:
- 55e74935d5d7d38bc9d753cfa215ee5acec3c716cf01804f8d63423faaaba416
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