Instructions to use brildev811/framesift-embeddinggemma-2-litert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT-LM
How to use brildev811/framesift-embeddinggemma-2-litert 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 # A single .litertlm file in the repo is picked automatically; otherwise the CLI asks which one to run # (or pass its name right after the repo id). litert-lm run \ --from-huggingface-repo=brildev811/framesift-embeddinggemma-2-litert \ --prompt="Write me a poem"
- Notebooks
- Google Colab
- Kaggle
Framesift mirror: EmbeddingGemma 2 Text Vision 440M (LiteRT-LM)
An unmodified mirror of embeddinggemma-2-text-vision-440m.litertlm from
litert-community/embeddinggemma-2-text-vision-440m-litert-lm,
hosted so the Framesift iOS app downloads a pinned, checksummed file. The file is not modified.
- Model: Google EmbeddingGemma 2 (text + vision, 440M), int4/int8 QAT, 388 MB.
- File:
embeddinggemma-2-text-vision-440m.litertlm - SHA-256:
92dcbea108899e5d6e30d919b0744f90d9967e80c67a4ab5503ac16d54f62eb0 - License: Apache License 2.0. Use is also subject to the Gemma Prohibited Use Policy: https://ai.google.dev/gemma/prohibited_use_policy
- Original model card: https://huggingface.co/google/embeddinggemma-2
Framesift (com.luraai.framesift) downloads this file once, only for Pro users who start the download in Settings. No photos, queries or identifiers are sent.
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Model tree for brildev811/framesift-embeddinggemma-2-litert
Base model
google/embeddinggemma-2