Instructions to use ModelForge/spam-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use ModelForge/spam-classifier with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("ModelForge/spam-classifier", "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
File size: 303 Bytes
b2012c0 ee4b122 acdf90e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | ---
license: mit
language:
- en
metrics:
- accuracy
- f1
- precision
- recall
pipeline_tag: text-classification
library_name: sklearn
tags:
- spam
- text-classification
- binary-classification
- scikit-learn
- english
- joblib
---
# SMS Spam Classifier
A SMS spam classifier trained on real-world data. |