Instructions to use imshriya/mlforge-test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use imshriya/mlforge-test-model with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("imshriya/mlforge-test-model", "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 test-linear-regression v1.0.0 via MLForge
Browse files- README.md +12 -0
- sklearn_model.joblib +3 -0
README.md
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---
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library_name: sklearn
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pipeline_tag: tabular-regression
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tags:
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- sklearn
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- tabular-regression
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- mlforge
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---
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# test-linear-regression
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This is a real deployment-manager smoke test upload from MLForge.
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sklearn_model.joblib
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version https://git-lfs.github.com/spec/v1
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oid sha256:d426cd92900b20ac9afa8a2f0a64858fc4bc0b0a97ea1b164963ac492f4c800e
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size 585
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