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:
- 79dadc66546106df828af119204e4f05b0838cbdee5ed96cf840e0dbee2ea8a7
- Size of remote file:
- 586 MB
- SHA256:
- 80d481b4fb2494b02d67e19ab6e6da0ea5a2d1529629734ca3b48b05074904ae
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