Instructions to use kerasformers/gpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use kerasformers/gpt with KerasFormers:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Keras
How to use kerasformers/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://kerasformers/gpt") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9721d7037d0c047560ea5341e5639d96744cb04c60c8d9cd8f15695c8c362fb5
- Size of remote file:
- 466 MB
- SHA256:
- 5091df313491b78a3838711c56e5bdbf7b3af9ef98d167a24c4415b90e716eeb
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