Instructions to use swagmir2233/hsahero-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT-LM
How to use swagmir2233/hsahero-models with LiteRT-LM:
# LiteRT-LM runs on various platforms (Android, iOS, Windows, Linux, macOS, IoT, Web/WASM) # and supports many APIs (C++, Python, Kotlin, Swift, JavaScript, Flutter). # For platform-specific integration guides, please refer to the official developer website: # https://ai.google.dev/edge/litert-lm # To try LiteRT-LM, the easiest way is to use our CLI tool. # 1. Install the LiteRT-LM CLI tool: pip install -U litert-lm # 2. Download and run this model locally: # See: https://ai.google.dev/edge/litert-lm/cli litert-lm run \ --from-huggingface-repo=swagmir2233/hsahero-models \ --prompt="Write me a poem"
- Notebooks
- Google Colab
- Kaggle
Gemma 3n E2B (int4, LiteRT-LM) β HSA Hero on-device model mirror
This repository redistributes Google's Gemma 3n E2B instruction-tuned model
in LiteRT-LM format (gemma-3n-E2B-it-int4.litertlm), unmodified, for the
HSA Hero app's in-app model download. The app
runs it fully on-device to read medical receipts; no user data ever leaves the
device.
License and use restrictions β read before use
Gemma is provided under and subject to the Gemma Terms of Use found at ai.google.dev/gemma/terms.
By downloading or using the model file in this repository you agree to be
bound by the Gemma Terms of Use, including the use restrictions in the
Gemma Prohibited Use Policy.
Verbatim copies of both documents as of the upload date are included in
legal/. If you further redistribute this model, the same
conditions apply to you (Gemma Terms of Use, Section 3.1): pass these
restrictions along, provide recipients a copy of the Agreement, and mark any
modified files.
Files
| File | Size (bytes) | SHA-256 |
|---|---|---|
gemma-3n-E2B-it-int4.litertlm |
3,655,827,456 | 2ed7bc3a0026c93d5b8a4544b352d9d00cd66ff0bac3ef6a20ac3d2cba4010d6 |
Provenance: unmodified copy of the file published by Google at
google/gemma-3n-E2B-it-litert-lm (obtained under an accepted Gemma license).
The byte size matches Google's published LFS metadata exactly; no
modifications of any kind.
Built with Gemma.
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