Instructions to use AdnanRiaz107/CodePhi-3-mini-128k-instruct-appslora1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AdnanRiaz107/CodePhi-3-mini-128k-instruct-appslora1k with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-128k-instruct") model = PeftModel.from_pretrained(base_model, "AdnanRiaz107/CodePhi-3-mini-128k-instruct-appslora1k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 02a5fabc1d85b71c13b396ec54e6f097852d00f3bfa2b77f33c732e2384946d5
- Size of remote file:
- 4.92 kB
- SHA256:
- 307e4db376c900cf567e450ea89fc761068a3a6d28e218e7cb618e388a7441b3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.