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
decider-2b-vision LiteRT-LM bundles (fp16, fp16-int8vocab, int8), reference readout, fixtures, manifest
6c024e9 verified Download reference/example_request.json from litert-community/decider-2b-vision-LiteRT: direct link, hf CLI and curl.
- Browser
- Download file 434 Bytes
-
https://huggingface.co/litert-community/decider-2b-vision-LiteRT/resolve/main/reference/example_request.json
- Command line
-
hf download hf://litert-community/decider-2b-vision-LiteRT/reference/example_request.json
-
curl -L -o example_request.json https://huggingface.co/litert-community/decider-2b-vision-LiteRT/resolve/main/reference/example_request.json
434 Bytes
| { | |
| "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" | |
| ] | |
| } | |
| ] | |
| } | |