Instructions to use cafbr/imdb-gpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use cafbr/imdb-gpt with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://cafbr/imdb-gpt") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 16271dc14aa0db5f1813e1cb1a3fc4de4d1c7d65c8d62c2a82f6ccf499595dd9
- Size of remote file:
- 450 kB
- SHA256:
- e8626972a869668dc48f11f9859f675e25e99d1ce30e87fd37c2cc4de0a33496
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