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
Mirror EmbeddingGemma 2 Text Vision 440M LiteRT-LM (unmodified)
Browse files- .gitattributes +1 -0
- README.md +23 -0
- embeddinggemma-2-text-vision-440m.litertlm +3 -0
.gitattributes
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embeddinggemma-2-text-vision-440m.litertlm filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: apache-2.0
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base_model:
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- google/embeddinggemma-2
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- litert-community/embeddinggemma-2-text-vision-440m-litert-lm
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tags:
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- litert-lm
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- embeddings
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---
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# Framesift mirror: EmbeddingGemma 2 Text Vision 440M (LiteRT-LM)
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An unmodified mirror of `embeddinggemma-2-text-vision-440m.litertlm` from
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[litert-community/embeddinggemma-2-text-vision-440m-litert-lm](https://huggingface.co/litert-community/embeddinggemma-2-text-vision-440m-litert-lm),
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hosted so the Framesift iOS app downloads a pinned, checksummed file. The file is not modified.
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- Model: Google EmbeddingGemma 2 (text + vision, 440M), int4/int8 QAT, 388 MB.
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- File: `embeddinggemma-2-text-vision-440m.litertlm`
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- SHA-256: `92dcbea108899e5d6e30d919b0744f90d9967e80c67a4ab5503ac16d54f62eb0`
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- License: Apache License 2.0. Use is also subject to the Gemma Prohibited Use Policy: https://ai.google.dev/gemma/prohibited_use_policy
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- Original model card: https://huggingface.co/google/embeddinggemma-2
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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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embeddinggemma-2-text-vision-440m.litertlm
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version https://git-lfs.github.com/spec/v1
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oid sha256:92dcbea108899e5d6e30d919b0744f90d9967e80c67a4ab5503ac16d54f62eb0
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size 387710976
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