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
Sam Chaudry commited on
Upload folder using huggingface_hub
Browse files- upload_to_huggingface.py +1 -1
upload_to_huggingface.py
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@@ -4,7 +4,7 @@ import os
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token = os.getenv("HF_TOKEN")
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login(token=token)
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#Repo Id
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repo_id = "NeuralNap/spam-classifier"
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create_repo(repo_id, private=False, exist_ok=True)
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token = os.getenv("HF_TOKEN")
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login(token=token)
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#Repo Id fo hugging face
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repo_id = "NeuralNap/spam-classifier"
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create_repo(repo_id, private=False, exist_ok=True)
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