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
- Xet hash:
- 8d2eae131824a3ddf9458ba37006fab4cfaf147e7ee53285dc91d6164b1d8274
- Size of remote file:
- 50.4 MB
- SHA256:
- 50c96faf5e8f73a5794ad516fad0d2f510dcf9accb8c367d3adcab75b8af871d
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