Instructions to use kerasformers/gemma-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use kerasformers/gemma-2b 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/gemma-2b 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/gemma-2b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 47035894201ec40db3f7edbf1ddb8b09504850cee2c747ce0e740f1705be16fb
- Size of remote file:
- 5.01 GB
- SHA256:
- 766e5e9934eebb85bd5fc20d440b7f69a6f12e389b0d6bbe6890a0dab51ad0a8
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