Scikit-learn
Joblib
English
multi-label-classification
movie-genre-classification
tfidf
svc
huggingface
mlops
github-actions
serverless
pipeline
tmdb
Instructions to use arjun-varma/tmdb-genre-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use arjun-varma/tmdb-genre-classifier with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("arjun-varma/tmdb-genre-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
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| 🔥 Live App (HF Space) | https://
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The model provides:
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- ⭐ Ranked genre probabilities
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| 🔥 Live App (HF Space) | [link](https://arjun-varma-tmdb-genre-demo.hf.space/?__theme=system&deep_link=uuDed8RzLJI) |
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| 📁 Github repo | [link](https://github.com/ArjunXvarma/Serverless-ML-pipeline.git)|
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The model provides:
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- ⭐ Ranked genre probabilities
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