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: 360 Bytes
011b22e ef59ecd 7885a28 d41303f ef59ecd a75c01f ef59ecd d41303f 011b22e 7885a28 011b22e 7885a28 d41303f a75c01f 7885a28 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | from huggingface_hub import login, create_repo, upload_folder
import os
# Login with the token
token = os.getenv("HF_TOKEN")
login(token=token)
# Create the repo (if it doesn't exist)
repo_id = "ModelForge/spam-classifier"
create_repo(repo_id, private=False, exist_ok=True)
upload_folder(
repo_id=repo_id,
folder_path=".",
repo_type="model"
)
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