Text Classification
Keras
English
movie-certification
movie-scripts
screenplay
mpaa-rating
age-rating
ordinal-classification
tf-idf
mlp
explainable-ai
english
ieee-gcat-2025
Instructions to use pratikkalamkar/moviecert-tfidf-unbalanced with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use pratikkalamkar/moviecert-tfidf-unbalanced with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://pratikkalamkar/moviecert-tfidf-unbalanced") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8de3a162ce028830b80b6b23fe630fd95b09414f365cb93c831f664829043d55
- Size of remote file:
- 96.1 MB
- SHA256:
- 681bdeaff14968d67dcd5883f17d8a7f73f0d897162892c4a3bcfb9fbd8275b0
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