Instructions to use programmersd/movie_nerd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use programmersd/movie_nerd with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://programmersd/movie_nerd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 356c75a18c84312ba5b18b4422bdb410d72d2ef5a26767700ea7d4810dcbf403
- Size of remote file:
- 17.2 MB
- SHA256:
- dce99c3a78b1c97f4cd0e2202bf078c76c0bb7b08e2985dc2c55779839d36c75
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