Image-Text-to-Text
Keras
PyTorch
JAX
TensorFlow
English
zeromodels
gemma3n
gemma-3n
audio-text-to-text
multimodal
Instructions to use zeromodels/gemma-3n-e4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use zeromodels/gemma-3n-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://zeromodels/gemma-3n-e4b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 59628c7b29c32139f0dc76f3fd658c9b306e9e5d0e2d3399d8c7f68b8f62c5cf
- Size of remote file:
- 7.33 GB
- SHA256:
- f8eee670b27a5bbcb990bead5d3763d1a27c2997fce0e60b61711deb3e73c460
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