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-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use zeromodels/gemma-3n-e4b-it 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-it") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 16b3f11a20767e82336d844d5e6918eea1f5868e47fe26388e0810cc2c6e8545
- Size of remote file:
- 9.55 GB
- SHA256:
- a8660ea5ed3e9843822361b653ce5abf3ea344937c5c76fdd06fa4528cdcb384
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