Instructions to use KrynexLabs/KrynexAI-vNS-2M-Generation-TFLite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use KrynexLabs/KrynexAI-vNS-2M-Generation-TFLite 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
Create README.md
Browse files
README.md
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---
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license: mit
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language:
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- ru
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- en
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pipeline_tag: image-generation
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tags:
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- mobile
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- tflite
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- generation
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- image
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- 2m-parameters
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- litert
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---
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# KrynexAI (2M Parameters)
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**KrynexAI** is a lightweight, optimized generative model with **1.5 million parameters** (2M).
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Designed by KrynexLabs for fast on-device inference and mobile systems using LiteRT (TensorFlow Lite).
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## Model Details
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- **Parameters:** 1,500,000 (2M)
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- **Format:** TFLite / LiteRT
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- **Target Use:** Mobile & edge device image generation processing
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