Instructions to use kerasformers/gemma-4-e4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use kerasformers/gemma-4-e4b 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-4-e4b 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-4-e4b") - Notebooks
- Google Colab
- Kaggle
Fix license: Gemma 4 is Apache 2.0
Browse files
README.md
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---
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pipeline_tag: any-to-any
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license:
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base_model: google/gemma-4-E4B
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library_name: kerasformers
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extra_gated_heading: Access Gemma on Hugging Face
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language:
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tags:
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A huge thank you to the Google Gemma authors for creating and releasing these models.
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License:
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---
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pipeline_tag: any-to-any
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license: apache-2.0
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base_model: google/gemma-4-E4B
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library_name: kerasformers
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language:
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- en
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tags:
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A huge thank you to the Google Gemma authors for creating and releasing these models.
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License: Apache 2.0.
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