Instructions to use AdnanRiaz107/CodePhi-3-mini-128k-instruct-appsloraN1k5.0e-6ada 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-appsloraN1k5.0e-6ada 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-appsloraN1k5.0e-6ada") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from AdnanRiaz107/CodePhi-3-mini-128k-instruct-appsloraN1k5.0e-6ada: direct link, hf CLI and curl.
- Browser
- Download file 50.4 MB
-
https://huggingface.co/AdnanRiaz107/CodePhi-3-mini-128k-instruct-appsloraN1k5.0e-6ada/resolve/03e732fc1940bb1bf536310cebe1da040db28ac9/adapter_model.safetensors
- Command line
-
hf download hf://AdnanRiaz107/CodePhi-3-mini-128k-instruct-appsloraN1k5.0e-6ada@03e732fc1940bb1bf536310cebe1da040db28ac9/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/AdnanRiaz107/CodePhi-3-mini-128k-instruct-appsloraN1k5.0e-6ada/resolve/03e732fc1940bb1bf536310cebe1da040db28ac9/adapter_model.safetensors
50.4 MB
- Xet hash:
- 8d2eae131824a3ddf9458ba37006fab4cfaf147e7ee53285dc91d6164b1d8274
- Size of remote file:
- 50.4 MB
- SHA256:
- 50c96faf5e8f73a5794ad516fad0d2f510dcf9accb8c367d3adcab75b8af871d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.