Instructions to use kamel-usp/jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C3-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-C3-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-C3-full_context-r8") - Notebooks
- Google Colab
- Kaggle
jbcs2025_Phi-3.5-mini-instruct-phi35_classification_lora-C3-full_context-r8 / adapter_model.safetensors
- Xet hash:
- 3209f7b23d4c563cc3781e4378a3d162bfaa4e079428a105e8356b89a8e2c333
- Size of remote file:
- 50.4 MB
- SHA256:
- 56e12633b87bbc9bc57a5e0c5101d78a0521e8b8147e627c4a6cc7048d60c9fb
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