Instructions to use kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C2-full_context-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-full_context-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-full_context-r8") - Notebooks
- Google Colab
- Kaggle
jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C2-full_context-r8 / adapter_model.safetensors
- Xet hash:
- b13c6f2226ded3945c058cf4baeb3b55d75529efd49aeae13d397417273a51cd
- Size of remote file:
- 50.4 MB
- SHA256:
- cb56ba231bb014371034a5740d0642c26a380fd7da739dc6fb5b932e12cfb1cc
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