Instructions to use trungngnthanh/mlops-project with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use trungngnthanh/mlops-project with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("trungngnthanh/mlops-project", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
metadata
library: scikit-learn
tags:
- classification
- logistic-regression
- mlflow
- sklearn
license: mit
datasets:
- synthetic
metrics:
- accuracy
My Dummy Transformer Model
This is a dummy transformer model for demonstration purposes. It is intended to show how including YAML metadata in your model card can resolve the warning and trigger the "Use this transformer" label on the Hugging Face Hub.