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 training_args.bin from AdnanRiaz107/CodePhi-3-mini-4k-instruct-pythonAPPS: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/AdnanRiaz107/CodePhi-3-mini-4k-instruct-pythonAPPS/resolve/main/training_args.bin
- Command line
-
hf download hf://AdnanRiaz107/CodePhi-3-mini-4k-instruct-pythonAPPS/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/AdnanRiaz107/CodePhi-3-mini-4k-instruct-pythonAPPS/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- eb4e8dca820d4f088d20efb76dfacc836399220f3285ee10e3165972f83d6348
- Size of remote file:
- 4.98 kB
- SHA256:
- d1c30fb0334b9316d77e80c4535c62300d02206949b2feb37c60d789fd840019
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