Instructions to use Sarthak279/Movie-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sarthak279/Movie-Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sarthak279/Movie-Classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sarthak279/Movie-Classification") model = AutoModelForSequenceClassification.from_pretrained("Sarthak279/Movie-Classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from Sarthak279/Movie-Classification: direct link, hf CLI and curl.
- Browser
- Download file 455 Bytes
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https://huggingface.co/Sarthak279/Movie-Classification/resolve/main/README.md
- Command line
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hf download hf://Sarthak279/Movie-Classification/README.md
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curl -L -o README.md https://huggingface.co/Sarthak279/Movie-Classification/resolve/main/README.md
455 Bytes
Enter the story it will predict maximum probability of type of movie
Types:
Drama -0 , Action -1 , Comedy -2 , Adventure -3 , Thriller -4 , Crime -5 , Romance -6 , Sci-Fi -7 , Horror -8 , Mystery -9 , Fantasy -10 , Biography -11 , Family -12 , Animation -13 , History -14 , Sport -15 , Music -16 , War -17 , Western -18 , Musical -19