Image-Text-to-Text
KerasFormers
Keras
PyTorch
JAX
TensorFlow
English
gemma3n
gemma-3n
audio-text-to-text
multimodal
Instructions to use zeromodels/gemma-3n-e2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use zeromodels/gemma-3n-e2b 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 zeromodels/gemma-3n-e2b with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://zeromodels/gemma-3n-e2b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ceecddbba3b5d68871ac3a36b550e8ad081ef79ba5db2aa5c1f84074e83ca7a0
- Size of remote file:
- 9.56 GB
- SHA256:
- 6a9c77226a8091b90cfe79f271f9fc9e9f518e7730119a891ea06c23cb56b985
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