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
| from huggingface_hub import upload_folder, login, create_repo | |
| import os | |
| token = os.getenv("HF_TOKEN") | |
| login(token=token) | |
| #Repo Id fo hugging face | |
| repo_id = "NeuralNap/spam-classifier" | |
| create_repo(repo_id, private=False, exist_ok=True) | |
| upload_folder( | |
| folder_path=".", | |
| repo_id=repo_id, | |
| repo_type="model" | |
| ) | |