Instructions to use AdnanRiaz107/CodePhi-3-mini-4k-instruct-pythonAPPS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AdnanRiaz107/CodePhi-3-mini-4k-instruct-pythonAPPS with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("AdnanRiaz107/CodePhi-3-mini-4k-instruct-python") model = PeftModel.from_pretrained(base_model, "AdnanRiaz107/CodePhi-3-mini-4k-instruct-pythonAPPS") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from AdnanRiaz107/CodePhi-3-mini-4k-instruct-pythonAPPS: direct link, hf CLI and curl.
- Browser
- Download file 50.4 MB
-
https://huggingface.co/AdnanRiaz107/CodePhi-3-mini-4k-instruct-pythonAPPS/resolve/main/model.safetensors
- Command line
-
hf download hf://AdnanRiaz107/CodePhi-3-mini-4k-instruct-pythonAPPS/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/AdnanRiaz107/CodePhi-3-mini-4k-instruct-pythonAPPS/resolve/main/model.safetensors
50.4 MB
- Xet hash:
- 8df06b9fcec747a6632eda01913e05113c9726cb7f1ca53b9d9a7aa263e9416d
- Size of remote file:
- 50.4 MB
- SHA256:
- 454a193939d3f75d5598744b6fc2ed904f714d34a029d8ebf1c836760717e047
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.