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
|
Download README.md from imshriya/mlforge-test-model: direct link, hf CLI and curl.
- Browser
- Download file 215 Bytes
-
https://huggingface.co/imshriya/mlforge-test-model/resolve/main/README.md
- Command line
-
hf download hf://imshriya/mlforge-test-model/README.md
-
curl -L -o README.md https://huggingface.co/imshriya/mlforge-test-model/resolve/main/README.md
215 Bytes
metadata
library_name: sklearn
pipeline_tag: tabular-regression
tags:
- sklearn
- tabular-regression
- mlforge
test-linear-regression
This is a real deployment-manager smoke test upload from MLForge.