Instructions to use NeuML/gemma-4-tiny-random-litert-lm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT-LM
How to use NeuML/gemma-4-tiny-random-litert-lm with LiteRT-LM:
# 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
- Notebooks
- Google Colab
- Kaggle
| license: apache-2.0 | |
| base_model: optimum-intel-internal-testing/tiny-random-gemma4 | |
| tags: | |
| - litert-lm | |
| # Model Card for Gemma 4 LiteRT-LM | |
| Tiny randomly initialized Gemma 4 LiteRT-LM model for testing. | |
| Created using the following code. | |
| ```python | |
| # pip install litert-torch | |
| from litert_torch.generative.export_hf.export import export | |
| export( | |
| model="optimum-intel-internal-testing/tiny-random-gemma4", | |
| output_dir="output", | |
| externalize_embedder=True, | |
| # Disable quantization, None still defaults to a value | |
| quantization_recipe="", | |
| use_jinja_template=False, | |
| ) | |
| ``` | |