Instructions to use tibaf/embeddinggemma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use tibaf/embeddinggemma with LiteRT:
# 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
File size: 1,728 Bytes
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license: gemma
license_link: https://ai.google.dev/gemma/terms
base_model: google/embeddinggemma-300m
pipeline_tag: sentence-similarity
tags:
- litert
- tflite
- on-device
- embeddinggemma
---
# EmbeddingGemma (LiteRT): Memoyad mirror
These are unmodified copies of EmbeddingGemma LiteRT files. They are hosted here so the
[Memoyad](https://memoyad.com) app always has a stable download source.
## EmbeddingGemma 300M
Source: [litert-community/embeddinggemma-300m](https://huggingface.co/litert-community/embeddinggemma-300m)
| File | Size (bytes) | SHA-256 |
|---|---|---|
| `embeddinggemma-300M_seq256_mixed-precision.tflite` | 179131736 | `37115ef7bff76cd37dd86abe503ff511b1032bf85fc624a85c49c84899e92bc5` |
| `sentencepiece_for_embeddinggemma.model` | 4683319 | `d6daa52d93d7aad10e8388bd526c4e501d914b47177398d1d9621f1fe48438c7` |
No weights, graphs or tokenizer data were changed. The app pins each download to a commit of this
repository and checks the SHA-256 above. Adding files here, such as a later EmbeddingGemma
version, never changes what an installed app downloads.
## License
Gemma is provided under and subject to the Gemma Terms of Use found at ai.google.dev/gemma/terms
A copy of the terms is in [`GEMMA_TERMS_OF_USE.md`](https://huggingface.co/tibaf/embeddinggemma/blob/main/GEMMA_TERMS_OF_USE.md).
Use of this model is subject to the [Gemma Prohibited Use Policy](https://ai.google.dev/gemma/prohibited_use_policy),
which is part of those terms. By downloading or using these files you agree to them.
## Credits
EmbeddingGemma was developed by Google DeepMind. The LiteRT community (Google AI Edge) converted it
to LiteRT. This repository is not affiliated with or endorsed by Google.
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