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all3n2601
/
respulse-offline-ai

Text Generation
LiteRT
LiteRT-LM
on-device
offline
rag
Model card Files Files and versions
xet
Community

Instructions to use all3n2601/respulse-offline-ai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • LiteRT-LM

    How to use all3n2601/respulse-offline-ai 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
    litert-lm run \
      --from-huggingface-repo=all3n2601/respulse-offline-ai \
      --prompt="Write me a poem"
  • Notebooks
  • Google Colab
  • Kaggle
respulse-offline-ai
772 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
all3n2601's picture
all3n2601
Add model card and Gemma redistribution terms
16eb17e verified 13 days ago
  • .gitattributes
    1.61 kB
    Add offline generator, embedder, and tokenizer 13 days ago
  • GEMMA_TERMS_OF_USE.md
    8.97 kB
    Add model card and Gemma redistribution terms 13 days ago
  • Gemma3-1B-IT_multi-prefill-seq_q4_ekv4096.litertlm
    584 MB
    xet
    Add offline generator, embedder, and tokenizer 13 days ago
  • NOTICE
    97 Bytes
    Add model card and Gemma redistribution terms 13 days ago
  • README.md
    1.38 kB
    Add model card and Gemma redistribution terms 13 days ago
  • embeddinggemma-300M_seq1024_mixed-precision.tflite
    183 MB
    xet
    Add offline generator, embedder, and tokenizer 13 days ago
  • sentencepiece.model
    4.68 MB
    xet
    Add offline generator, embedder, and tokenizer 13 days ago