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
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Download README.md from brildev811/framesift-embeddinggemma-2-litert: direct link, hf CLI and curl.
- Browser
- Download file 1.13 kB
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https://huggingface.co/brildev811/framesift-embeddinggemma-2-litert/resolve/main/README.md
- Command line
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hf download hf://brildev811/framesift-embeddinggemma-2-litert/README.md
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curl -L -o README.md https://huggingface.co/brildev811/framesift-embeddinggemma-2-litert/resolve/main/README.md
1.13 kB
| license: apache-2.0 | |
| base_model: | |
| - google/embeddinggemma-2 | |
| - litert-community/embeddinggemma-2-text-vision-440m-litert-lm | |
| tags: | |
| - litert-lm | |
| - embeddings | |
| # 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](https://huggingface.co/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. | |