Instructions to use paulsp94/Qwen3.5-2B-LiteRT-LM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT-LM
How to use paulsp94/Qwen3.5-2B-LiteRT-LM 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=paulsp94/Qwen3.5-2B-LiteRT-LM \ --prompt="Write me a poem"
- Notebooks
- Google Colab
- Kaggle
INVALID_ARGUMENT: Invalid magic number or failed to read: LTLM
#3 opened 3 months ago
by
4ntoine
Runtime error: No KV cache inputs found.
🔥 1
1
#2 opened 4 months ago
by
karriez
Crashed google ai edge gallery
#1 opened 4 months ago
by
Danon123123