Image-Text-to-Text
LiteRT-LM
LiteRT
English
decision-model
vision
structured-output
hybrid
gated-deltanet
Instructions to use litert-community/decider-2b-vision-LiteRT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT-LM
How to use litert-community/decider-2b-vision-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 litert-lm run \ --from-huggingface-repo=litert-community/decider-2b-vision-LiteRT \ --prompt="Write me a poem"
- LiteRT
How to use litert-community/decider-2b-vision-LiteRT 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
File size: 434 Bytes
6c024e9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"image": "fixtures/images/game_pong_atari_up_160x210.png",
"context": "You play Pong (Atari) and control the right paddle. Move the paddle so the ball hits it; the ball bounces off paddles and walls. Missing the ball loses a point. The image shows the current game screen.",
"questions": [
{
"question": "What should you do right now?",
"options": [
"move paddle up",
"move paddle down",
"stay"
]
}
]
}
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