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
Upload folder using huggingface_hub
Browse files
README.md
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# My Dummy Transformer Model
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This is a dummy transformer model for demonstration purposes.
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---
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library: scikit-learn
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tags:
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- classification
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- logistic-regression
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- mlflow
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- sklearn
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license: mit
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datasets:
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- synthetic
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metrics:
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- accuracy
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---
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# My Dummy Transformer Model
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This is a dummy transformer model for demonstration purposes.
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It is intended to show how including YAML metadata in your model card can resolve the warning
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and trigger the "Use this transformer" label on the Hugging Face Hub.
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