Instructions to use kerasformers/gemma-4-12b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use kerasformers/gemma-4-12b 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-4-12b 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-4-12b") - Notebooks
- Google Colab
- Kaggle
File size: 429 Bytes
4cd99dd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"library_name": "kerasformers",
"kerasformers_version": "1.2.1",
"preprocessor_module": "kerasformers.models.gemma4_unified",
"preprocessor_class": "Gemma4UnifiedImageProcessor",
"variant": "gemma-4-12b",
"patch_size": 16,
"max_soft_tokens": 280,
"pooling_kernel_size": 3,
"rescale_factor": 0.00392156862745098,
"image_mean": [
0.0,
0.0,
0.0
],
"image_std": [
1.0,
1.0,
1.0
]
} |