Text Generation
PEFT
Safetensors
lora
small-language-model
enterprise-benchmark
code-generation
conversational
Instructions to use yusifnuri/phi-4-mini-instruct_code_generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use yusifnuri/phi-4-mini-instruct_code_generation 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_code_generation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f0358dc38aaf3d6d43373aaae8e86f9964c3e48f2a0f2b390211c7514a936824
- Size of remote file:
- 15.5 MB
- SHA256:
- dcd6878d2c93d9aa166fc56bbe101365748c85775908a4edbb3b7b3616cd2050
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