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
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Download README.md from tibaf/embeddinggemma: direct link, hf CLI and curl.
- Browser
- Download file 1.73 kB
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https://huggingface.co/tibaf/embeddinggemma/resolve/main/README.md
- Command line
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hf download hf://tibaf/embeddinggemma/README.md
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curl -L -o README.md https://huggingface.co/tibaf/embeddinggemma/resolve/main/README.md
1.73 kB
| 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. | |