Instructions to use AbhishekS2005/mlforge-test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use AbhishekS2005/mlforge-test-model with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("AbhishekS2005/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
Commit History
-
Deploy run-8a963f26-4253-4e53-a268-9a6e191538bc v8a963f26-4253-4e53-a268-9a6e191538bc via MLForge
Verified signature55ce0ff -
Deploy run-a24b3f57-ba73-4de9-be34-d0bacf7e0825 va24b3f57-ba73-4de9-be34-d0bacf7e0825 via MLForge
Verified signature302da3d -
Deploy run-dec5cddb-716d-434f-9f30-e717c38ce9bc vdec5cddb-716d-434f-9f30-e717c38ce9bc via MLForge
Verified signaturef6b8970
-
Add custom handler.py for sklearn inference
Verified signature66ca7f0 -
Deploy test-linear-regression v1.0.0 via MLForge
Verified signaturea600de8 -
Deploy test-linear-regression v1.0.0 via MLForge
Verified signature319693a -
Deploy test-linear-regression v1.0.0 via MLForge
Verified signatured0cc23e -
initial commit
Verified signature03f8292