Instructions to use imshriya/mlforge-cicd-test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use imshriya/mlforge-cicd-test-model with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("imshriya/mlforge-cicd-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 run-ec7bd3b4-ad31-41fe-bdb1-58f24c250f26 vrun-ec7bd3b4-ad31-41fe-bdb1-58f24c250f26 via MLForge
Browse files- README.md +3 -6
- sgd_classifier.pkl +3 -0
README.md
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library_name: sklearn
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pipeline_tag: tabular-regression
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- sklearn
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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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# MLForge Run ec7bd3b4-ad31-41fe-bdb1-58f24c250f26
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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 sha256:7e6273ed4c2f3653b15112bf9de356f12578a4ab34b49ab8be1181919fabd320
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size 934
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