Text Generation
PEFT
Safetensors
lora
small-language-model
enterprise-benchmark
classification
conversational
Instructions to use yusifnuri/phi-4-mini-instruct_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use yusifnuri/phi-4-mini-instruct_classification with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/phi-4-mini-instruct") model = PeftModel.from_pretrained(base_model, "yusifnuri/phi-4-mini-instruct_classification") - Notebooks
- Google Colab
- Kaggle
Question about your Phi-4 Mini classification model
#1
by Ask951169 - opened
Hey, I came across your Phi-4 Mini project for text classification. I found the approach of adapting an instruction model for a specific classification task interesting.
I'm exploring how developers are handling domain-specific model customization and deployment. What was the most challenging part of setting up the fine-tuning process?