Instructions to use samanehs/gpt2_imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasHub
How to use samanehs/gpt2_imdb with KerasHub:
import keras_hub # Create a Backbone model unspecialized for any task backbone = keras_hub.models.Backbone.from_preset("hf://samanehs/gpt2_imdb") - Keras
How to use samanehs/gpt2_imdb with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://samanehs/gpt2_imdb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5c8bd6ad0c64eabb2dce9c9396f91ef2d9394cbe3a9775767f011b914d0487d5
- Size of remote file:
- 52.8 MB
- SHA256:
- bb6e04f49859cc11d6fe47a002594165a9082f5e13182fe60a0b83575c10b439
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