📦 Model Conversion to WebAssembly
Learn how to convert AI/ML models from popular frameworks like PyTorch, TensorFlow, and ONNX to WebAssembly modules.
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Why Convert Models to WebAssembly?
Secure Execution
WebAssembly provides memory-safe execution environments for machine learning models directly in web browsers and native apps.
Cross-Platform
Deploy your AI models consistently across all supported platforms without worrying about underlying execution differences.
Conversion Workflow
Install CLI
npm install -g @wasm-ai/cli
Installs the WasmAI command-line interface to your system path.
Convert Model
wasm-ai convert model.onnx --platform browser
Convert ONNX/TensorFlow/PyTorch models to WebAssembly for browser deployment.
Optimize
wasm-ai optimize ./converted-model.wasm
Optimize code and reduce memory footprint of compiled models.
Supported Model Formats
Tensorflow
.pb, .ckpt
PyTorch
.pt, .pth
ONNX
.onnx
Custom
Custom model formats
Security-Optimized Conversion
Memory Protection
- Isolated stack execution
- Secure heap management
Conversion CLI Flags
--platform browser
--optimize memory-safety
--secure --no-debug
Use these flags to enforce secure conversion and runtime constraints.
Performance Tips
Reduce Memory
Use the --optimize flag to reduce memory usage by 30% or more.
Faster Parsing
Enable --simd for SIMD-optimized inference paths.
Verify
Validate converted models with wasm-ai verify before deployment.
