Instructions to use Siddhanth-Saha/mlforge-demo-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use Siddhanth-Saha/mlforge-demo-4 with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("Siddhanth-Saha/mlforge-demo-4", "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
Deploy run-40b9d52e-e050-4a18-95da-2802e0ecb3f0 v40b9d52e-e050-4a18-95da-2802e0ecb3f0 via MLForge
Browse files- README.md +10 -0
- sgd_classifier.pkl +3 -0
README.md
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---
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library_name: sklearn
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tags:
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- mlforge
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- deployment-manager
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---
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# MLForge Run 40b9d52e-e050-4a18-95da-2802e0ecb3f0
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This repository was uploaded from the MLForge backend deployment endpoint.
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sgd_classifier.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:23833cac68a4811bd2207e43b15e4e8b8aecd45736f840e909f9f5ffc1b10ebe
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size 921
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